diff --git a/nbs/99_manuscript/coefs_comp/20_00-gtex_whole_blood-UTY_KDM6A.ipynb b/nbs/99_manuscript/coefs_comp/20_00-gtex_whole_blood-UTY_KDM6A.ipynb index befeccf5..d85331ee 100644 --- a/nbs/99_manuscript/coefs_comp/20_00-gtex_whole_blood-UTY_KDM6A.ipynb +++ b/nbs/99_manuscript/coefs_comp/20_00-gtex_whole_blood-UTY_KDM6A.ipynb @@ -60,12 +60,6 @@ "execution_count": 1, "id": "2dcd0e52-236a-44cd-9cd9-71cca1232338", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:56.512994Z", - "iopub.status.busy": "2023-11-20T08:55:56.512464Z", - "iopub.status.idle": "2023-11-20T08:55:57.280770Z", - "shell.execute_reply": "2023-11-20T08:55:57.280425Z" - }, "papermill": { "duration": 0.778767, "end_time": "2023-11-20T08:55:57.282390", @@ -110,12 +104,6 @@ "execution_count": 2, "id": "3e9781c8-faf2-41ec-a5c3-ab84dec6a7fa", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.313597Z", - "iopub.status.busy": "2023-11-20T08:55:57.313511Z", - "iopub.status.idle": "2023-11-20T08:55:57.315760Z", - "shell.execute_reply": "2023-11-20T08:55:57.315469Z" - }, "papermill": { "duration": 0.009823, "end_time": "2023-11-20T08:55:57.316518", @@ -155,12 +143,6 @@ "execution_count": 3, "id": "1ea8a834-34dd-480f-b85f-5706aa4db334", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.363287Z", - "iopub.status.busy": "2023-11-20T08:55:57.363162Z", - "iopub.status.idle": "2023-11-20T08:55:57.365443Z", - "shell.execute_reply": "2023-11-20T08:55:57.365163Z" - }, "papermill": { "duration": 0.009932, "end_time": "2023-11-20T08:55:57.366200", @@ -181,12 +163,6 @@ "execution_count": 4, "id": "f869a719-5302-4c5b-b496-0878617ea3d3", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.379862Z", - "iopub.status.busy": "2023-11-20T08:55:57.379650Z", - "iopub.status.idle": "2023-11-20T08:55:57.383787Z", - "shell.execute_reply": "2023-11-20T08:55:57.383383Z" - }, "papermill": { "duration": 0.011846, "end_time": "2023-11-20T08:55:57.384630", @@ -256,12 +232,6 @@ "execution_count": 5, "id": "e2dffcd4-3280-4f2e-8e5b-1797c6333894", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.425110Z", - "iopub.status.busy": "2023-11-20T08:55:57.424812Z", - "iopub.status.idle": "2023-11-20T08:55:57.460560Z", - "shell.execute_reply": "2023-11-20T08:55:57.460088Z" - }, "papermill": { "duration": 0.043947, "end_time": "2023-11-20T08:55:57.461533", @@ -281,12 +251,6 @@ "execution_count": 6, "id": "f762c76d-31b6-46e3-9660-3352112c9326", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.475718Z", - "iopub.status.busy": "2023-11-20T08:55:57.475409Z", - "iopub.status.idle": "2023-11-20T08:55:57.479139Z", - "shell.execute_reply": "2023-11-20T08:55:57.478744Z" - }, "papermill": { "duration": 0.011791, "end_time": "2023-11-20T08:55:57.479973", @@ -317,12 +281,6 @@ "execution_count": 7, "id": "870baa0e-4f5b-44c7-b32d-f3763f74a2b7", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.494199Z", - "iopub.status.busy": "2023-11-20T08:55:57.493904Z", - "iopub.status.idle": "2023-11-20T08:55:57.515276Z", - "shell.execute_reply": "2023-11-20T08:55:57.514837Z" - }, "papermill": { "duration": 0.029424, "end_time": "2023-11-20T08:55:57.516109", @@ -602,12 +560,6 @@ "execution_count": 8, "id": "3cf14b08-658d-46bc-9581-c9afd70be177", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.544600Z", - "iopub.status.busy": "2023-11-20T08:55:57.544199Z", - "iopub.status.idle": "2023-11-20T08:55:57.562921Z", - "shell.execute_reply": "2023-11-20T08:55:57.562384Z" - }, "papermill": { "duration": 0.027167, "end_time": "2023-11-20T08:55:57.563910", @@ -627,12 +579,6 @@ "execution_count": 9, "id": "a2564d82-f685-4bc4-8ab9-5c09988830ae", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.579072Z", - "iopub.status.busy": "2023-11-20T08:55:57.578653Z", - "iopub.status.idle": "2023-11-20T08:55:57.634878Z", - "shell.execute_reply": "2023-11-20T08:55:57.634425Z" - }, "papermill": { "duration": 0.064994, "end_time": "2023-11-20T08:55:57.635818", @@ -652,12 +598,6 @@ "execution_count": 10, "id": "ced72294-1843-427e-8dc0-3f57572fd9fd", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.650500Z", - "iopub.status.busy": "2023-11-20T08:55:57.650207Z", - "iopub.status.idle": "2023-11-20T08:55:57.652491Z", - "shell.execute_reply": "2023-11-20T08:55:57.652119Z" - }, "papermill": { "duration": 0.010461, "end_time": "2023-11-20T08:55:57.653268", @@ -677,12 +617,6 @@ "execution_count": 11, "id": "e7d49359-73b7-4e13-b404-24bbcce77172", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.667993Z", - "iopub.status.busy": "2023-11-20T08:55:57.667737Z", - "iopub.status.idle": "2023-11-20T08:55:57.670315Z", - "shell.execute_reply": "2023-11-20T08:55:57.669870Z" - }, "papermill": { "duration": 0.010763, "end_time": "2023-11-20T08:55:57.671152", @@ -720,12 +654,6 @@ "execution_count": 12, "id": "5122cc00-b5da-4327-a0e3-d0d4829b1986", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.700015Z", - "iopub.status.busy": "2023-11-20T08:55:57.699725Z", - "iopub.status.idle": "2023-11-20T08:55:57.707873Z", - "shell.execute_reply": "2023-11-20T08:55:57.707403Z" - }, "papermill": { "duration": 0.016514, "end_time": "2023-11-20T08:55:57.708660", @@ -760,12 +688,6 @@ "execution_count": 13, "id": "a31f26d7-91dc-468d-81b1-f6e563d7b88d", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.723690Z", - "iopub.status.busy": "2023-11-20T08:55:57.723392Z", - "iopub.status.idle": "2023-11-20T08:55:57.734583Z", - "shell.execute_reply": "2023-11-20T08:55:57.734034Z" - }, "papermill": { "duration": 0.019757, "end_time": "2023-11-20T08:55:57.735493", @@ -785,12 +707,6 @@ "execution_count": 14, "id": "275350ae-f69f-4351-9a3e-0363a423487c", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.750681Z", - "iopub.status.busy": "2023-11-20T08:55:57.750313Z", - "iopub.status.idle": "2023-11-20T08:55:57.754061Z", - "shell.execute_reply": "2023-11-20T08:55:57.753594Z" - }, "papermill": { "duration": 0.012315, "end_time": "2023-11-20T08:55:57.754893", @@ -821,12 +737,6 @@ "execution_count": 15, "id": "7f9ddb05-4328-4a98-921d-16c3bdff1c67", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.769965Z", - "iopub.status.busy": "2023-11-20T08:55:57.769676Z", - "iopub.status.idle": "2023-11-20T08:55:57.773333Z", - "shell.execute_reply": "2023-11-20T08:55:57.772871Z" - }, "papermill": { "duration": 0.012109, "end_time": "2023-11-20T08:55:57.774177", @@ -861,12 +771,6 @@ "execution_count": 16, "id": "dede5dad-0df7-40a1-8ea5-eab06fc3b9af", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.789526Z", - "iopub.status.busy": "2023-11-20T08:55:57.789169Z", - "iopub.status.idle": "2023-11-20T08:55:57.797293Z", - "shell.execute_reply": "2023-11-20T08:55:57.796743Z" - }, "papermill": { "duration": 0.016816, "end_time": "2023-11-20T08:55:57.798240", @@ -886,12 +790,6 @@ "execution_count": 17, "id": "57609f27-8bb6-4377-827b-ae9d55537be1", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.813663Z", - "iopub.status.busy": "2023-11-20T08:55:57.813372Z", - "iopub.status.idle": "2023-11-20T08:55:57.817067Z", - "shell.execute_reply": "2023-11-20T08:55:57.816608Z" - }, "papermill": { "duration": 0.012367, "end_time": "2023-11-20T08:55:57.817919", @@ -922,12 +820,6 @@ "execution_count": 18, "id": "e8fea00b-9119-440b-b33a-fadbc2131210", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.833423Z", - "iopub.status.busy": "2023-11-20T08:55:57.833136Z", - "iopub.status.idle": "2023-11-20T08:55:57.836776Z", - "shell.execute_reply": "2023-11-20T08:55:57.836311Z" - }, "papermill": { "duration": 0.012323, "end_time": "2023-11-20T08:55:57.837601", @@ -979,12 +871,6 @@ "execution_count": 19, "id": "137ce1ba-751a-4758-91dc-2ad1e2fb57d6", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.868126Z", - "iopub.status.busy": "2023-11-20T08:55:57.867764Z", - "iopub.status.idle": "2023-11-20T08:55:57.971907Z", - "shell.execute_reply": "2023-11-20T08:55:57.971473Z" - }, "papermill": { "duration": 0.11334, "end_time": "2023-11-20T08:55:57.973180", @@ -1008,12 +894,6 @@ "execution_count": 20, "id": "6e2eb857-c33c-4a65-a401-db3ced529623", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:57.989734Z", - "iopub.status.busy": "2023-11-20T08:55:57.989634Z", - "iopub.status.idle": "2023-11-20T08:55:57.992488Z", - "shell.execute_reply": "2023-11-20T08:55:57.992134Z" - }, "papermill": { "duration": 0.011606, "end_time": "2023-11-20T08:55:57.993202", @@ -1044,12 +924,6 @@ "execution_count": 21, "id": "61a489c4-de22-46ec-b795-8199d68123ae", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.008703Z", - "iopub.status.busy": "2023-11-20T08:55:58.008476Z", - "iopub.status.idle": "2023-11-20T08:55:58.012908Z", - "shell.execute_reply": "2023-11-20T08:55:58.012553Z" - }, "papermill": { "duration": 0.012911, "end_time": "2023-11-20T08:55:58.013590", @@ -1144,12 +1018,6 @@ "execution_count": 22, "id": "23a5e80d-afbf-4780-b84d-ba4553421f8b", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.029435Z", - "iopub.status.busy": "2023-11-20T08:55:58.029164Z", - "iopub.status.idle": "2023-11-20T08:55:58.034801Z", - "shell.execute_reply": "2023-11-20T08:55:58.034365Z" - }, "papermill": { "duration": 0.014433, "end_time": "2023-11-20T08:55:58.035617", @@ -1171,12 +1039,6 @@ "execution_count": 23, "id": "38730891-f083-4c34-8530-30f511003abc", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.051552Z", - "iopub.status.busy": "2023-11-20T08:55:58.051264Z", - "iopub.status.idle": "2023-11-20T08:55:58.054819Z", - "shell.execute_reply": "2023-11-20T08:55:58.054358Z" - }, "papermill": { "duration": 0.012427, "end_time": "2023-11-20T08:55:58.055626", @@ -1207,12 +1069,6 @@ "execution_count": 24, "id": "2081927d-7970-4805-891c-c8bc76a2351f", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.071750Z", - "iopub.status.busy": "2023-11-20T08:55:58.071458Z", - "iopub.status.idle": "2023-11-20T08:55:58.076640Z", - "shell.execute_reply": "2023-11-20T08:55:58.076155Z" - }, "papermill": { "duration": 0.014105, "end_time": "2023-11-20T08:55:58.077423", @@ -1234,12 +1090,6 @@ "execution_count": 25, "id": "23e75a4b-0c77-470d-9a7b-4d07909be735", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.097064Z", - "iopub.status.busy": "2023-11-20T08:55:58.096854Z", - "iopub.status.idle": "2023-11-20T08:55:58.105749Z", - "shell.execute_reply": "2023-11-20T08:55:58.105289Z" - }, "papermill": { "duration": 0.021495, "end_time": "2023-11-20T08:55:58.106610", @@ -1287,12 +1137,6 @@ "execution_count": 26, "id": "695487c0-35c7-4a5e-b91c-4e8ee47b0295", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.139576Z", - "iopub.status.busy": "2023-11-20T08:55:58.139132Z", - "iopub.status.idle": "2023-11-20T08:55:58.230646Z", - "shell.execute_reply": "2023-11-20T08:55:58.230353Z" - }, "papermill": { "duration": 0.100976, "end_time": "2023-11-20T08:55:58.231502", @@ -1316,12 +1160,6 @@ "execution_count": 27, "id": "a84a00a6-b51f-4a79-b056-0f515f526c95", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.247529Z", - "iopub.status.busy": "2023-11-20T08:55:58.247442Z", - "iopub.status.idle": "2023-11-20T08:55:58.250183Z", - "shell.execute_reply": "2023-11-20T08:55:58.249901Z" - }, "papermill": { "duration": 0.011604, "end_time": "2023-11-20T08:55:58.250884", @@ -1352,12 +1190,6 @@ "execution_count": 28, "id": "d9ef287c-3f2a-46da-99a8-2b6688379fc8", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.267183Z", - "iopub.status.busy": "2023-11-20T08:55:58.267093Z", - "iopub.status.idle": "2023-11-20T08:55:58.271467Z", - "shell.execute_reply": "2023-11-20T08:55:58.271146Z" - }, "papermill": { "duration": 0.013258, "end_time": "2023-11-20T08:55:58.272186", @@ -1452,12 +1284,6 @@ "execution_count": 29, "id": "e485ed5e-6d56-4432-8fcb-dd2956dbe605", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.288638Z", - "iopub.status.busy": "2023-11-20T08:55:58.288544Z", - "iopub.status.idle": "2023-11-20T08:55:58.293896Z", - "shell.execute_reply": "2023-11-20T08:55:58.293520Z" - }, "papermill": { "duration": 0.014431, "end_time": "2023-11-20T08:55:58.294649", @@ -1479,12 +1305,6 @@ "execution_count": 30, "id": "558a0a54-558a-4af6-baec-4dd1189909cc", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.311601Z", - "iopub.status.busy": "2023-11-20T08:55:58.311263Z", - "iopub.status.idle": "2023-11-20T08:55:58.314724Z", - "shell.execute_reply": "2023-11-20T08:55:58.314331Z" - }, "papermill": { "duration": 0.01288, "end_time": "2023-11-20T08:55:58.315541", @@ -1515,12 +1335,6 @@ "execution_count": 31, "id": "5094eb5e-7d8d-408f-9e7e-3f73fa8e91ed", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.332677Z", - "iopub.status.busy": "2023-11-20T08:55:58.332302Z", - "iopub.status.idle": "2023-11-20T08:55:58.337054Z", - "shell.execute_reply": "2023-11-20T08:55:58.336655Z" - }, "papermill": { "duration": 0.01416, "end_time": "2023-11-20T08:55:58.337830", @@ -1542,12 +1356,6 @@ "execution_count": 32, "id": "81168021-bd56-45f8-9acc-0d6e5a1c7ba5", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.354948Z", - "iopub.status.busy": "2023-11-20T08:55:58.354661Z", - "iopub.status.idle": "2023-11-20T08:55:58.358062Z", - "shell.execute_reply": "2023-11-20T08:55:58.357659Z" - }, "papermill": { "duration": 0.012847, "end_time": "2023-11-20T08:55:58.358878", @@ -1629,12 +1437,6 @@ "execution_count": 33, "id": "0adc0cb7-6a22-49be-aafc-894aebb42dde", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:58.424934Z", - "iopub.status.busy": "2023-11-20T08:55:58.424612Z", - "iopub.status.idle": "2023-11-20T08:55:59.027926Z", - "shell.execute_reply": "2023-11-20T08:55:59.027542Z" - }, "papermill": { "duration": 0.613147, "end_time": "2023-11-20T08:55:59.029090", @@ -1665,12 +1467,6 @@ "execution_count": 34, "id": "2d8d145a-f9bd-42eb-89ae-beee42621083", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:59.049822Z", - "iopub.status.busy": "2023-11-20T08:55:59.049738Z", - "iopub.status.idle": "2023-11-20T08:55:59.386803Z", - "shell.execute_reply": "2023-11-20T08:55:59.386444Z" - }, "papermill": { "duration": 0.349521, "end_time": "2023-11-20T08:55:59.388102", @@ -1684,7 +1480,7 @@ { "data": { "text/plain": [ - "(0.10427807486631016, 0.015984015984015984)" + "(0.10427807486631016, 0.013986013986013986)" ] }, "execution_count": 34, @@ -1718,12 +1514,6 @@ "execution_count": 35, "id": "d7ef4ad5-afbe-4365-9d90-3fecd0f382cc", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:59.453572Z", - "iopub.status.busy": "2023-11-20T08:55:59.453491Z", - "iopub.status.idle": "2023-11-20T08:55:59.456801Z", - "shell.execute_reply": "2023-11-20T08:55:59.456505Z" - }, "papermill": { "duration": 0.022649, "end_time": "2023-11-20T08:55:59.458058", @@ -1754,12 +1544,6 @@ "execution_count": 36, "id": "4b4bb182-418b-4ef6-997d-0a7569a794c4", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:59.483075Z", - "iopub.status.busy": "2023-11-20T08:55:59.482995Z", - "iopub.status.idle": "2023-11-20T08:55:59.486455Z", - "shell.execute_reply": "2023-11-20T08:55:59.486022Z" - }, "papermill": { "duration": 0.01374, "end_time": "2023-11-20T08:55:59.487298", @@ -1807,12 +1591,6 @@ "execution_count": 37, "id": "e5712802-eb2c-4779-987f-ccd4817c6070", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:59.521582Z", - "iopub.status.busy": "2023-11-20T08:55:59.521432Z", - "iopub.status.idle": "2023-11-20T08:55:59.526539Z", - "shell.execute_reply": "2023-11-20T08:55:59.526078Z" - }, "papermill": { "duration": 0.014912, "end_time": "2023-11-20T08:55:59.527335", @@ -1843,12 +1621,6 @@ "execution_count": 38, "id": "290b1ebf-91cc-4032-a0d8-fa147d39aaeb", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:59.545195Z", - "iopub.status.busy": "2023-11-20T08:55:59.544867Z", - "iopub.status.idle": "2023-11-20T08:55:59.549626Z", - "shell.execute_reply": "2023-11-20T08:55:59.549230Z" - }, "papermill": { "duration": 0.014564, "end_time": "2023-11-20T08:55:59.550412", @@ -1913,12 +1685,6 @@ "execution_count": 39, "id": "ebe913d2-d02e-4515-9742-a9303f527395", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:55:59.603192Z", - "iopub.status.busy": "2023-11-20T08:55:59.602834Z", - "iopub.status.idle": "2023-11-20T08:56:00.192183Z", - "shell.execute_reply": "2023-11-20T08:56:00.191803Z" - }, "papermill": { "duration": 0.599662, "end_time": "2023-11-20T08:56:00.193244", @@ -1949,12 +1715,6 @@ "execution_count": 40, "id": "f173bde0-9cf2-47fa-af40-739845d16247", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:00.214571Z", - "iopub.status.busy": "2023-11-20T08:56:00.214489Z", - "iopub.status.idle": "2023-11-20T08:56:00.557902Z", - "shell.execute_reply": "2023-11-20T08:56:00.557502Z" - }, "papermill": { "duration": 0.355935, "end_time": "2023-11-20T08:56:00.559121", @@ -1968,7 +1728,7 @@ { "data": { "text/plain": [ - "(0.04191990815775257, 0.35264735264735264)" + "(0.04191990815775257, 0.36563436563436563)" ] }, "execution_count": 40, @@ -2002,12 +1762,6 @@ "execution_count": 41, "id": "75f54397-bfb4-467d-b329-fb159d87ba77", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:00.625863Z", - "iopub.status.busy": "2023-11-20T08:56:00.625776Z", - "iopub.status.idle": "2023-11-20T08:56:00.629256Z", - "shell.execute_reply": "2023-11-20T08:56:00.628844Z" - }, "papermill": { "duration": 0.021756, "end_time": "2023-11-20T08:56:00.630532", @@ -2038,12 +1792,6 @@ "execution_count": 42, "id": "181af358-ac4a-400e-bc46-5213cf866c50", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:00.658608Z", - "iopub.status.busy": "2023-11-20T08:56:00.658303Z", - "iopub.status.idle": "2023-11-20T08:56:00.662418Z", - "shell.execute_reply": "2023-11-20T08:56:00.662026Z" - }, "papermill": { "duration": 0.015931, "end_time": "2023-11-20T08:56:00.663236", @@ -2091,12 +1839,6 @@ "execution_count": 43, "id": "f3eef972-8259-4a03-8b1e-24cb05cf7c57", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:00.699282Z", - "iopub.status.busy": "2023-11-20T08:56:00.698900Z", - "iopub.status.idle": "2023-11-20T08:56:00.703998Z", - "shell.execute_reply": "2023-11-20T08:56:00.703548Z" - }, "papermill": { "duration": 0.015248, "end_time": "2023-11-20T08:56:00.704802", @@ -2127,12 +1869,6 @@ "execution_count": 44, "id": "9dfdbf5a-fca2-4a80-a8af-fe5fa3887c66", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:00.723658Z", - "iopub.status.busy": "2023-11-20T08:56:00.723226Z", - "iopub.status.idle": "2023-11-20T08:56:00.727952Z", - "shell.execute_reply": "2023-11-20T08:56:00.727552Z" - }, "papermill": { "duration": 0.014948, "end_time": "2023-11-20T08:56:00.728742", @@ -2180,12 +1916,6 @@ "execution_count": 45, "id": "8b86aa69-c53b-4906-b8fd-fa97b9f90462", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:00.765779Z", - "iopub.status.busy": "2023-11-20T08:56:00.765437Z", - "iopub.status.idle": "2023-11-20T08:56:05.764878Z", - "shell.execute_reply": "2023-11-20T08:56:05.764531Z" - }, "papermill": { "duration": 5.01057, "end_time": "2023-11-20T08:56:05.766475", @@ -2222,12 +1952,6 @@ "execution_count": 46, "id": "93b8e40d-a049-4272-81b0-6c4f45fa1df6", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:05.801558Z", - "iopub.status.busy": "2023-11-20T08:56:05.801475Z", - "iopub.status.idle": "2023-11-20T08:56:05.804294Z", - "shell.execute_reply": "2023-11-20T08:56:05.804009Z" - }, "papermill": { "duration": 0.021576, "end_time": "2023-11-20T08:56:05.805494", @@ -2258,12 +1982,6 @@ "execution_count": 47, "id": "52c86cee-59b3-41a7-ac71-8a000d9c472f", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:05.840469Z", - "iopub.status.busy": "2023-11-20T08:56:05.840392Z", - "iopub.status.idle": "2023-11-20T08:56:05.844909Z", - "shell.execute_reply": "2023-11-20T08:56:05.844558Z" - }, "papermill": { "duration": 0.023309, "end_time": "2023-11-20T08:56:05.846180", @@ -2358,12 +2076,6 @@ "execution_count": 48, "id": "58840394-da1e-499d-b3a3-4c2292a57fbe", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:05.873387Z", - "iopub.status.busy": "2023-11-20T08:56:05.873052Z", - "iopub.status.idle": "2023-11-20T08:56:05.884369Z", - "shell.execute_reply": "2023-11-20T08:56:05.883923Z" - }, "papermill": { "duration": 0.022072, "end_time": "2023-11-20T08:56:05.885172", @@ -2752,12 +2464,6 @@ "execution_count": 49, "id": "21684890-5dc8-4ad4-a7bc-693caccb386e", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:05.904956Z", - "iopub.status.busy": "2023-11-20T08:56:05.904807Z", - "iopub.status.idle": "2023-11-20T08:56:05.915624Z", - "shell.execute_reply": "2023-11-20T08:56:05.915230Z" - }, "papermill": { "duration": 0.021518, "end_time": "2023-11-20T08:56:05.916408", @@ -3146,12 +2852,6 @@ "execution_count": 50, "id": "65fda98a-ebcb-421b-a286-3a89dd369b38", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:05.936868Z", - "iopub.status.busy": "2023-11-20T08:56:05.936719Z", - "iopub.status.idle": "2023-11-20T08:56:05.947502Z", - "shell.execute_reply": "2023-11-20T08:56:05.947098Z" - }, "papermill": { "duration": 0.021826, "end_time": "2023-11-20T08:56:05.948275", @@ -3557,12 +3257,6 @@ "execution_count": 51, "id": "37979e0a-5a5d-40d7-8071-1ecc54a11c06", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:05.989605Z", - "iopub.status.busy": "2023-11-20T08:56:05.989454Z", - "iopub.status.idle": "2023-11-20T08:56:05.993475Z", - "shell.execute_reply": "2023-11-20T08:56:05.993079Z" - }, "papermill": { "duration": 0.015537, "end_time": "2023-11-20T08:56:05.994253", @@ -3601,12 +3295,6 @@ "execution_count": 52, "id": "08d2da77-49d4-471b-9e6c-c1d27fc5b13b", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:06.015399Z", - "iopub.status.busy": "2023-11-20T08:56:06.015248Z", - "iopub.status.idle": "2023-11-20T08:56:06.018280Z", - "shell.execute_reply": "2023-11-20T08:56:06.017885Z" - }, "papermill": { "duration": 0.014842, "end_time": "2023-11-20T08:56:06.019182", @@ -3628,12 +3316,6 @@ "execution_count": 53, "id": "0d04139a-2fd5-4f09-81c7-8f7b6b87d478", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:06.040472Z", - "iopub.status.busy": "2023-11-20T08:56:06.040325Z", - "iopub.status.idle": "2023-11-20T08:56:06.043073Z", - "shell.execute_reply": "2023-11-20T08:56:06.042681Z" - }, "papermill": { "duration": 0.014423, "end_time": "2023-11-20T08:56:06.043873", @@ -3654,12 +3336,6 @@ "execution_count": 54, "id": "5e0026f0-e25f-4058-bba8-810887f523f5", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:06.065222Z", - "iopub.status.busy": "2023-11-20T08:56:06.064825Z", - "iopub.status.idle": "2023-11-20T08:56:06.067504Z", - "shell.execute_reply": "2023-11-20T08:56:06.067101Z" - }, "papermill": { "duration": 0.014174, "end_time": "2023-11-20T08:56:06.068318", @@ -3680,12 +3356,6 @@ "execution_count": 55, "id": "30becd4a-14ad-467d-b462-54429c61008a", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:06.089570Z", - "iopub.status.busy": "2023-11-20T08:56:06.089169Z", - "iopub.status.idle": "2023-11-20T08:56:06.099591Z", - "shell.execute_reply": "2023-11-20T08:56:06.099184Z" - }, "papermill": { "duration": 0.021749, "end_time": "2023-11-20T08:56:06.100320", @@ -3707,6 +3377,7 @@ " bins=\"log\",\n", " samples=None,\n", " filename_suffix=\"\",\n", + " tissue_name_in_title=None,\n", "):\n", " \"\"\"\n", " It plots (joint plot) a gene pair from the given tissue. It saves the plot\n", @@ -3739,7 +3410,9 @@ " _pearson = pearsonr(tissue_data[gene0], tissue_data[gene1])[0]\n", " _spearman = spearmanr(tissue_data[gene0], tissue_data[gene1])[0]\n", "\n", - " _title = f\"{simplify_tissue_name(tissue_name)}\\n$c={_clustermatch:.2f}$ $p={_pearson:.2f}$ $s={_spearman:.2f}$\"\n", + " if tissue_name_in_title is None:\n", + " tissue_name_in_title = simplify_tissue_name(tissue_name)\n", + " _title = f\"{tissue_name_in_title}\\n$c={_clustermatch:.2f}$ $p={_pearson:.2f}$ $s={_spearman:.2f}$\"\n", "\n", " other_args = {\n", " \"kind\": kind, # if hue is None else \"scatter\",\n", @@ -3748,7 +3421,8 @@ " if hue is None:\n", " other_args[\"hue_order\"] = None\n", " else:\n", - " other_args[\"hue_order\"] = [\"Male\", \"Female\"]\n", + " if tissue_data[hue].unique().shape[0] == 2:\n", + " other_args[\"hue_order\"] = [\"Male\", \"Female\"]\n", "\n", " with sns.plotting_context(\"paper\", font_scale=1.5):\n", " p = sns.jointplot(\n", @@ -3815,12 +3489,6 @@ "execution_count": 56, "id": "ad7a21de-2d8e-423e-8044-38d6f3b43808", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:06.141871Z", - "iopub.status.busy": "2023-11-20T08:56:06.141469Z", - "iopub.status.idle": "2023-11-20T08:56:06.815437Z", - "shell.execute_reply": "2023-11-20T08:56:06.815120Z" - }, "papermill": { "duration": 0.686272, "end_time": "2023-11-20T08:56:06.817129", @@ -3879,12 +3547,6 @@ "execution_count": 57, "id": "f009b03f-b276-42ac-8f76-5377aac04b82", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:06.858869Z", - "iopub.status.busy": "2023-11-20T08:56:06.858782Z", - "iopub.status.idle": "2023-11-20T08:56:07.380845Z", - "shell.execute_reply": "2023-11-20T08:56:07.380537Z" - }, "papermill": { "duration": 0.544177, "end_time": "2023-11-20T08:56:07.382358", @@ -3915,7 +3577,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -3960,12 +3622,6 @@ "execution_count": 58, "id": "4b35981a-a86c-4bca-afc2-d426d899f38e", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:07.466017Z", - "iopub.status.busy": "2023-11-20T08:56:07.465857Z", - "iopub.status.idle": "2023-11-20T08:56:07.951425Z", - "shell.execute_reply": "2023-11-20T08:56:07.951103Z" - }, "papermill": { "duration": 0.507235, "end_time": "2023-11-20T08:56:07.953195", @@ -4024,12 +3680,6 @@ "execution_count": 59, "id": "193939bb-4af0-4995-af74-ab3d0ccd86b5", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:07.998867Z", - "iopub.status.busy": "2023-11-20T08:56:07.998697Z", - "iopub.status.idle": "2023-11-20T08:56:08.457065Z", - "shell.execute_reply": "2023-11-20T08:56:08.456756Z" - }, "papermill": { "duration": 0.481924, "end_time": "2023-11-20T08:56:08.458042", @@ -4060,7 +3710,7 @@ }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -4083,111 +3733,6 @@ ")" ] }, - { - "cell_type": "markdown", - "id": "dafb2823-fdd8-40e0-919e-9bab0ead9f4d", - "metadata": { - "papermill": { - "duration": 0.023055, - "end_time": "2023-11-20T08:56:08.504159", - "exception": false, - "start_time": "2023-11-20T08:56:08.481104", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "# Create final figure" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "57090b29-80c6-4ae5-8d2e-a1f256f8a58c", - "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:08.545680Z", - "iopub.status.busy": "2023-11-20T08:56:08.545550Z", - "iopub.status.idle": "2023-11-20T08:56:08.557139Z", - "shell.execute_reply": "2023-11-20T08:56:08.556741Z" - }, - "papermill": { - "duration": 0.030886, - "end_time": "2023-11-20T08:56:08.557999", - "exception": false, - "start_time": "2023-11-20T08:56:08.527113", - "status": "completed" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "from svgutils.compose import Figure, SVG, Panel" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "e5a39467-e448-43a9-a9ba-9f947bfff1ed", - "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:08.582763Z", - "iopub.status.busy": "2023-11-20T08:56:08.582635Z", - "iopub.status.idle": "2023-11-20T08:56:08.592221Z", - "shell.execute_reply": "2023-11-20T08:56:08.591831Z" - }, - "papermill": { - "duration": 0.022872, - "end_time": "2023-11-20T08:56:08.592942", - "exception": false, - "start_time": "2023-11-20T08:56:08.570070", - "status": "completed" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "Figure(\n", - " \"6.0767480cm\",\n", - " \"8.7045984cm\",\n", - " # Panel(\n", - " # SVG(OUTPUT_FIGURE_DIR / \"gtex_brain_cerebellum-KDM6A_vs_UTY-all.svg\").scale(0.005),\n", - " # SVG(OUTPUT_FIGURE_DIR / \"gtex_small_intestine-KDM6A_vs_UTY-all.svg\").scale(0.005).move(2, 0),\n", - " # ),\n", - " Panel(\n", - " SVG(OUTPUT_FIGURE_DIR / \"gtex_brain_cerebellum-KDM6A_vs_UTY-males.svg\").scale(\n", - " 0.005\n", - " ),\n", - " SVG(\n", - " OUTPUT_FIGURE_DIR\n", - " / \"gtex_small_intestine_terminal_ileum-KDM6A_vs_UTY-males.svg\"\n", - " )\n", - " .scale(0.005)\n", - " .move(2, 0),\n", - " ).move(0, 2.20),\n", - ").save(\n", - " OUTPUT_FIGURE_DIR\n", - " / \"gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-males.svg\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "5f462b54-b10e-4392-9dc8-719f84a9bff3", - "metadata": { - "papermill": { - "duration": 0.012083, - "end_time": "2023-11-20T08:56:08.617210", - "exception": false, - "start_time": "2023-11-20T08:56:08.605127", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "Now open the file, reside to fit drawing to page, and add a white rectangle to the background." - ] - }, { "cell_type": "markdown", "id": "84fb982b-1dce-4985-99b2-86c74d1d7f33", @@ -4224,15 +3769,9 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 70, "id": "bc5680c7-18d2-45ca-a7d4-3c0cb1d8b8f9", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:08.691974Z", - "iopub.status.busy": "2023-11-20T08:56:08.691490Z", - "iopub.status.idle": "2023-11-20T08:56:08.701524Z", - "shell.execute_reply": "2023-11-20T08:56:08.701168Z" - }, "papermill": { "duration": 0.023909, "end_time": "2023-11-20T08:56:08.702252", @@ -4246,18 +3785,18 @@ "source": [ "datasets_df = pd.DataFrame(\n", " {\n", - " \"dataset\": \"Brain cerebellum (all)\",\n", - " \"x\": brain_cerebellum.iloc[:, 0],\n", - " \"y\": brain_cerebellum.iloc[:, 1],\n", + " \"dataset\": \"Brain cerebellum\\n(males + females)\",\n", + " gene0_symbol: brain_cerebellum.iloc[:, 0],\n", + " gene1_symbol: brain_cerebellum.iloc[:, 1],\n", " }\n", ")\n", "\n", "datasets_df = datasets_df.append(\n", " pd.DataFrame(\n", " {\n", - " \"dataset\": \"Small intestine (terminal ileum) (all)\",\n", - " \"x\": small_intestine.iloc[:, 0],\n", - " \"y\": small_intestine.iloc[:, 1],\n", + " \"dataset\": \"Small intestine (terminal ileum)\\n(males + females)\",\n", + " gene0_symbol: small_intestine.iloc[:, 0],\n", + " gene1_symbol: small_intestine.iloc[:, 1],\n", " }\n", " ),\n", " ignore_index=True,\n", @@ -4266,9 +3805,9 @@ "datasets_df = datasets_df.append(\n", " pd.DataFrame(\n", " {\n", - " \"dataset\": \"Brain cerebellum (males)\",\n", - " \"x\": brain_cerebellum_males.iloc[:, 0],\n", - " \"y\": brain_cerebellum_males.iloc[:, 1],\n", + " \"dataset\": \"Brain cerebellum\\n(males)\",\n", + " gene0_symbol: brain_cerebellum_males.iloc[:, 0],\n", + " gene1_symbol: brain_cerebellum_males.iloc[:, 1],\n", " }\n", " ),\n", " ignore_index=True,\n", @@ -4277,9 +3816,9 @@ "datasets_df = datasets_df.append(\n", " pd.DataFrame(\n", " {\n", - " \"dataset\": \"Small intestine (terminal ileum) (males)\",\n", - " \"x\": small_intestine_males.iloc[:, 0],\n", - " \"y\": small_intestine_males.iloc[:, 1],\n", + " \"dataset\": \"Small intestine (terminal ileum)\\n(males)\",\n", + " gene0_symbol: small_intestine_males.iloc[:, 0],\n", + " gene1_symbol: small_intestine_males.iloc[:, 1],\n", " }\n", " ),\n", " ignore_index=True,\n", @@ -4288,15 +3827,9 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 71, "id": "603dae3d-0fbe-4fe0-8639-181ba6f13a20", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:08.727410Z", - "iopub.status.busy": "2023-11-20T08:56:08.727248Z", - "iopub.status.idle": "2023-11-20T08:56:08.732824Z", - "shell.execute_reply": "2023-11-20T08:56:08.732470Z" - }, "papermill": { "duration": 0.019325, "end_time": "2023-11-20T08:56:08.733558", @@ -4313,34 +3846,11 @@ "}" ] }, - { - "cell_type": "markdown", - "id": "79a733f1-c41f-41b7-a5d4-3341014176d8", - "metadata": { - "papermill": { - "duration": 0.012121, - "end_time": "2023-11-20T08:56:08.757944", - "exception": false, - "start_time": "2023-11-20T08:56:08.745823", - "status": "completed" - }, - "tags": [] - }, - "source": [ - "## Plot" - ] - }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 72, "id": "0109f1d9-22ff-42fd-8bf8-ab84f449cbbd", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:08.783470Z", - "iopub.status.busy": "2023-11-20T08:56:08.783036Z", - "iopub.status.idle": "2023-11-20T08:56:08.790958Z", - "shell.execute_reply": "2023-11-20T08:56:08.790544Z" - }, "papermill": { "duration": 0.021517, "end_time": "2023-11-20T08:56:08.791733", @@ -4390,17 +3900,141 @@ " return x_line_points, y_line_points" ] }, + { + "cell_type": "markdown", + "id": "91b90e34-59e0-4ceb-9718-cfb9607d6278", + "metadata": { + "papermill": { + "duration": 0.021029, + "end_time": "2023-11-20T08:56:07.424778", + "exception": false, + "start_time": "2023-11-20T08:56:07.403749", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "## Brain cerebellum and Small intestine (males)" + ] + }, { "cell_type": "code", - "execution_count": 65, - "id": "55ecad23-cf11-4ed5-a81d-c7faa16ad8b9", + "execution_count": 76, + "id": "18631e93-64a3-4638-b999-32a0b65a037a", + "metadata": { + "papermill": { + "duration": 0.497529, + "end_time": "2023-11-20T08:56:09.301630", + "exception": false, + "start_time": "2023-11-20T08:56:08.804101", + "status": "completed" + }, + "tags": [] + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "with sns.plotting_context(\"paper\", font_scale=1.8):\n", + " g = sns.FacetGrid(\n", + " data=datasets_df,\n", + " col=\"dataset\",\n", + " col_order=[\n", + " # \"Brain cerebellum (all)\",\n", + " # \"Small intestine (terminal ileum) (all)\",\n", + " \"Brain cerebellum\\n(males)\",\n", + " \"Small intestine (terminal ileum)\\n(males)\",\n", + " ],\n", + " col_wrap=2,\n", + " height=5,\n", + " )\n", + " g.map(sns.scatterplot, gene0_symbol, gene1_symbol, s=50, alpha=1)\n", + " g.set_titles(row_template=\"{row_name}\", col_template=\"{col_name}\")\n", + "\n", + " for ds, ax in g.axes_dict.items():\n", + " df = datasets[ds].to_numpy()\n", + " x, y = df[:, 0], df[:, 1]\n", + "\n", + " # pearson and spearman\n", + " r = pearsonr(x, y)[0]\n", + " rs = spearmanr(x, y)[0]\n", + "\n", + " # ccc\n", + " c, max_parts, parts = ccc(x, y, return_parts=True)\n", + " c = ccc(x, y)\n", + "\n", + " x_line_points, y_line_points = get_cm_line_points(x, y, max_parts, parts)\n", + " for yp in y_line_points:\n", + " ax.hlines(y=yp, xmin=-0.5, xmax=30, color=\"r\", alpha=0.5)\n", + "\n", + " for xp in x_line_points:\n", + " ax.vlines(x=xp, ymin=-0.5, ymax=18, color=\"r\", alpha=0.5)\n", + "\n", + " # add text box for the statistics\n", + " stats = (\n", + " f\"$\\it{{p}}$ ={r: .2f}\\n\"\n", + " f\"$\\it{{s}}$ ={rs: .2f}\\n\"\n", + " f\"$\\it{{c}}$ ={c: .2f}\"\n", + " )\n", + " # stats = f\"$c$ = {c:.2f}\"\n", + " bbox = dict(boxstyle=\"round\", fc=\"white\", ec=\"black\", alpha=0.75)\n", + " ax.text(\n", + " 0.95,\n", + " 0.75,\n", + " stats,\n", + " fontsize=14,\n", + " bbox=bbox,\n", + " transform=ax.transAxes,\n", + " horizontalalignment=\"right\",\n", + " )\n", + " ax.set_xlabel(f\"{gene0_symbol}\", fontstyle=\"italic\")\n", + " ax.set_ylabel(f\"{gene1_symbol}\", fontstyle=\"italic\")\n", + " ax.set(xticklabels=[], yticklabels=[])\n", + " ax.tick_params(left=False, bottom=False)\n", + "\n", + " plt.savefig(\n", + " OUTPUT_FIGURE_DIR\n", + " / \"gtex_brain_cerebellum_and_small_intestine_terminal_ileum-KDM6A_vs_UTY-males.svg\",\n", + " # rasterized=True,\n", + " dpi=300,\n", + " bbox_inches=\"tight\",\n", + " facecolor=\"white\",\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "79a733f1-c41f-41b7-a5d4-3341014176d8", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:08.817173Z", - "iopub.status.busy": "2023-11-20T08:56:08.817019Z", - "iopub.status.idle": "2023-11-20T08:56:09.300155Z", - "shell.execute_reply": "2023-11-20T08:56:09.299832Z" + "papermill": { + "duration": 0.012121, + "end_time": "2023-11-20T08:56:08.757944", + "exception": false, + "start_time": "2023-11-20T08:56:08.745823", + "status": "completed" }, + "tags": [] + }, + "source": [ + "## Plot" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "55ecad23-cf11-4ed5-a81d-c7faa16ad8b9", + "metadata": { "papermill": { "duration": 0.497529, "end_time": "2023-11-20T08:56:09.301630", @@ -4413,7 +4047,7 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -4432,13 +4066,13 @@ " col_order=[\n", " # \"Brain cerebellum (all)\",\n", " # \"Small intestine (terminal ileum) (all)\",\n", - " \"Brain cerebellum (males)\",\n", - " \"Small intestine (terminal ileum) (males)\",\n", + " \"Brain cerebellum\\n(males)\",\n", + " \"Small intestine (terminal ileum)\\n(males)\",\n", " ],\n", " col_wrap=2,\n", " height=5,\n", " )\n", - " g.map(sns.scatterplot, \"x\", \"y\", s=50, alpha=1)\n", + " g.map(sns.scatterplot, gene0_symbol, gene1_symbol, s=50, alpha=1)\n", " g.set_titles(row_template=\"{row_name}\", col_template=\"{col_name}\")\n", "\n", " for ds, ax in g.axes_dict.items():\n", @@ -4472,10 +4106,14 @@ " transform=ax.transAxes,\n", " horizontalalignment=\"right\",\n", " )\n", + " ax.set_xlabel(f\"{gene0_symbol}\", fontstyle=\"italic\")\n", + " ax.set_ylabel(f\"{gene1_symbol}\", fontstyle=\"italic\")\n", + " ax.set(xticklabels=[], yticklabels=[])\n", + " ax.tick_params(left=False, bottom=False)\n", "\n", " plt.savefig(\n", " OUTPUT_FIGURE_DIR\n", - " / \"gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-males.png\",\n", + " / \"gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-males.svg\",\n", " # rasterized=True,\n", " dpi=300,\n", " bbox_inches=\"tight\",\n", @@ -4485,15 +4123,9 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 75, "id": "65d1355b-5793-491f-9da6-436f9676accc", "metadata": { - "execution": { - "iopub.execute_input": "2023-11-20T08:56:09.386253Z", - "iopub.status.busy": "2023-11-20T08:56:09.386119Z", - "iopub.status.idle": "2023-11-20T08:56:09.861742Z", - "shell.execute_reply": "2023-11-20T08:56:09.861241Z" - }, "papermill": { "duration": 0.537138, "end_time": "2023-11-20T08:56:09.862842", @@ -4506,7 +4138,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -4523,15 +4155,15 @@ " data=datasets_df,\n", " col=\"dataset\",\n", " col_order=[\n", - " \"Brain cerebellum (all)\",\n", - " \"Small intestine (terminal ileum) (all)\",\n", + " \"Brain cerebellum\\n(males + females)\",\n", + " \"Small intestine (terminal ileum)\\n(males + females)\",\n", " # \"Brain cerebellum (males)\",\n", " # \"Small intestine (terminal ileum) (males)\",\n", " ],\n", " col_wrap=2,\n", " height=5,\n", " )\n", - " g.map(sns.scatterplot, \"x\", \"y\", s=50, alpha=1)\n", + " g.map(sns.scatterplot, gene0_symbol, gene1_symbol, s=50, alpha=1)\n", " g.set_titles(row_template=\"{row_name}\", col_template=\"{col_name}\")\n", "\n", " for ds, ax in g.axes_dict.items():\n", @@ -4565,10 +4197,14 @@ " transform=ax.transAxes,\n", " horizontalalignment=\"right\",\n", " )\n", + " ax.set_xlabel(f\"{gene0_symbol}\", fontstyle=\"italic\")\n", + " ax.set_ylabel(f\"{gene1_symbol}\", fontstyle=\"italic\")\n", + " ax.set(xticklabels=[], yticklabels=[])\n", + " ax.tick_params(left=False, bottom=False)\n", "\n", " plt.savefig(\n", " OUTPUT_FIGURE_DIR\n", - " / \"gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-all.png\",\n", + " / \"gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-all.svg\",\n", " # rasterized=True,\n", " dpi=300,\n", " bbox_inches=\"tight\",\n", @@ -4576,6 +4212,93 @@ " )" ] }, + { + "cell_type": "markdown", + "id": "596dce58-5f6c-4451-b550-b21e50a3f740", + "metadata": { + "papermill": { + "duration": 0.037395, + "end_time": "2023-09-11T18:50:15.396205", + "exception": false, + "start_time": "2023-09-11T18:50:15.358810", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "# Create final figure" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "63019017-d53a-40b4-a7b7-cbf651057959", + "metadata": { + "papermill": { + "duration": 0.020927, + "end_time": "2023-09-11T18:50:15.427827", + "exception": false, + "start_time": "2023-09-11T18:50:15.406900", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "from svgutils.compose import Figure, SVG, Panel, Text" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "0b77ce62-27ea-4d18-ad52-f2f109e482f8", + "metadata": { + "papermill": { + "duration": 0.02745, + "end_time": "2023-09-11T18:50:15.465978", + "exception": false, + "start_time": "2023-09-11T18:50:15.438528", + "status": "completed" + }, + "tags": [] + }, + "outputs": [], + "source": [ + "Figure(\n", + " f\"{60.0767480 * 6}cm\",\n", + " f\"{60.0767480 * 6}cm\",\n", + " # Panel(\n", + " # SVG(OUTPUT_FIGURE_DIR / \"gtex_brain_cerebellum_and_small_intestine_terminal_ileum-KDM6A_vs_UTY-males.svg\").scale(0.5),\n", + " # Text(\"a)\", 2, 10, size=9, weight=\"bold\"),\n", + " # ),\n", + " Panel(\n", + " SVG(OUTPUT_FIGURE_DIR / \"gtex_brain_cerebellum_and_small_intestine_terminal_ileum-KDM6A_vs_UTY-males.svg\").scale(0.5),\n", + " Text(\"a)\", 2, 10, size=9, weight=\"bold\"),\n", + " ),#.move(0, 180),\n", + " Panel(\n", + " SVG(OUTPUT_FIGURE_DIR / \"gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-all.svg\").scale(0.5),\n", + " Text(\"b)\", 2, 10, size=9, weight=\"bold\"),\n", + " ).move(0, 170),#.move(0, 180+170),\n", + ").save(OUTPUT_FIGURE_DIR / \"gtex-KDM6A_vs_UTY-nonlinear_and_linear.svg\")" + ] + }, + { + "cell_type": "markdown", + "id": "4743350d-7f4e-4b56-9e18-d5b2a9fc5f55", + "metadata": { + "papermill": { + "duration": 0.010409, + "end_time": "2023-09-11T18:50:15.487043", + "exception": false, + "start_time": "2023-09-11T18:50:15.476634", + "status": "completed" + }, + "tags": [] + }, + "source": [ + "Now open the final file, reside to fit drawing to page, and add a white rectangle to the background." + ] + }, { "cell_type": "code", "execution_count": null, @@ -4597,7 +4320,12 @@ "metadata": { "jupytext": { "cell_metadata_filter": "all,-execution,-papermill,-trusted", - "notebook_metadata_filter": "-jupytext.text_representation.jupytext_version" + "notebook_metadata_filter": "-jupytext.text_representation.jupytext_version", + "text_representation": { + "extension": ".py", + "format_name": "percent", + "format_version": "1.3" + } }, "kernelspec": { "display_name": "Python 3 (ipykernel)", diff --git a/nbs/99_manuscript/coefs_comp/py/20_00-gtex_whole_blood-UTY_KDM6A.py b/nbs/99_manuscript/coefs_comp/py/20_00-gtex_whole_blood-UTY_KDM6A.py index e9fabb63..bb4235a0 100644 --- a/nbs/99_manuscript/coefs_comp/py/20_00-gtex_whole_blood-UTY_KDM6A.py +++ b/nbs/99_manuscript/coefs_comp/py/20_00-gtex_whole_blood-UTY_KDM6A.py @@ -336,6 +336,7 @@ def plot_gene_pair( bins="log", samples=None, filename_suffix="", + tissue_name_in_title=None, ): """ It plots (joint plot) a gene pair from the given tissue. It saves the plot @@ -368,7 +369,9 @@ def plot_gene_pair( _pearson = pearsonr(tissue_data[gene0], tissue_data[gene1])[0] _spearman = spearmanr(tissue_data[gene0], tissue_data[gene1])[0] - _title = f"{simplify_tissue_name(tissue_name)}\n$c={_clustermatch:.2f}$ $p={_pearson:.2f}$ $s={_spearman:.2f}$" + if tissue_name_in_title is None: + tissue_name_in_title = simplify_tissue_name(tissue_name) + _title = f"{tissue_name_in_title}\n$c={_clustermatch:.2f}$ $p={_pearson:.2f}$ $s={_spearman:.2f}$" other_args = { "kind": kind, # if hue is None else "scatter", @@ -377,7 +380,8 @@ def plot_gene_pair( if hue is None: other_args["hue_order"] = None else: - other_args["hue_order"] = ["Male", "Female"] + if tissue_data[hue].unique().shape[0] == 2: + other_args["hue_order"] = ["Male", "Female"] with sns.plotting_context("paper", font_scale=1.5): p = sns.jointplot( @@ -472,39 +476,6 @@ def plot_gene_pair( filename_suffix="-males", ) -# %% [markdown] tags=[] -# # Create final figure - -# %% tags=[] -from svgutils.compose import Figure, SVG, Panel - -# %% tags=[] -Figure( - "6.0767480cm", - "8.7045984cm", - # Panel( - # SVG(OUTPUT_FIGURE_DIR / "gtex_brain_cerebellum-KDM6A_vs_UTY-all.svg").scale(0.005), - # SVG(OUTPUT_FIGURE_DIR / "gtex_small_intestine-KDM6A_vs_UTY-all.svg").scale(0.005).move(2, 0), - # ), - Panel( - SVG(OUTPUT_FIGURE_DIR / "gtex_brain_cerebellum-KDM6A_vs_UTY-males.svg").scale( - 0.005 - ), - SVG( - OUTPUT_FIGURE_DIR - / "gtex_small_intestine_terminal_ileum-KDM6A_vs_UTY-males.svg" - ) - .scale(0.005) - .move(2, 0), - ).move(0, 2.20), -).save( - OUTPUT_FIGURE_DIR - / "gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-males.svg" -) - -# %% [markdown] tags=[] -# Now open the file, reside to fit drawing to page, and add a white rectangle to the background. - # %% [markdown] tags=[] # # Understand how CCC divides samples @@ -514,18 +485,18 @@ def plot_gene_pair( # %% tags=[] datasets_df = pd.DataFrame( { - "dataset": "Brain cerebellum (all)", - "x": brain_cerebellum.iloc[:, 0], - "y": brain_cerebellum.iloc[:, 1], + "dataset": "Brain cerebellum\n(males + females)", + gene0_symbol: brain_cerebellum.iloc[:, 0], + gene1_symbol: brain_cerebellum.iloc[:, 1], } ) datasets_df = datasets_df.append( pd.DataFrame( { - "dataset": "Small intestine (terminal ileum) (all)", - "x": small_intestine.iloc[:, 0], - "y": small_intestine.iloc[:, 1], + "dataset": "Small intestine (terminal ileum)\n(males + females)", + gene0_symbol: small_intestine.iloc[:, 0], + gene1_symbol: small_intestine.iloc[:, 1], } ), ignore_index=True, @@ -534,9 +505,9 @@ def plot_gene_pair( datasets_df = datasets_df.append( pd.DataFrame( { - "dataset": "Brain cerebellum (males)", - "x": brain_cerebellum_males.iloc[:, 0], - "y": brain_cerebellum_males.iloc[:, 1], + "dataset": "Brain cerebellum\n(males)", + gene0_symbol: brain_cerebellum_males.iloc[:, 0], + gene1_symbol: brain_cerebellum_males.iloc[:, 1], } ), ignore_index=True, @@ -545,9 +516,9 @@ def plot_gene_pair( datasets_df = datasets_df.append( pd.DataFrame( { - "dataset": "Small intestine (terminal ileum) (males)", - "x": small_intestine_males.iloc[:, 0], - "y": small_intestine_males.iloc[:, 1], + "dataset": "Small intestine (terminal ileum)\n(males)", + gene0_symbol: small_intestine_males.iloc[:, 0], + gene1_symbol: small_intestine_males.iloc[:, 1], } ), ignore_index=True, @@ -559,9 +530,6 @@ def plot_gene_pair( } -# %% [markdown] tags=[] -# ## Plot - # %% tags=[] def get_cm_line_points(x, y, max_parts, parts): """ @@ -601,6 +569,9 @@ def get_cm_line_points(x, y, max_parts, parts): return x_line_points, y_line_points +# %% [markdown] tags=[] +# ## Brain cerebellum and Small intestine (males) + # %% tags=[] with sns.plotting_context("paper", font_scale=1.8): g = sns.FacetGrid( @@ -609,13 +580,83 @@ def get_cm_line_points(x, y, max_parts, parts): col_order=[ # "Brain cerebellum (all)", # "Small intestine (terminal ileum) (all)", - "Brain cerebellum (males)", - "Small intestine (terminal ileum) (males)", + "Brain cerebellum\n(males)", + "Small intestine (terminal ileum)\n(males)", ], col_wrap=2, height=5, ) - g.map(sns.scatterplot, "x", "y", s=50, alpha=1) + g.map(sns.scatterplot, gene0_symbol, gene1_symbol, s=50, alpha=1) + g.set_titles(row_template="{row_name}", col_template="{col_name}") + + for ds, ax in g.axes_dict.items(): + df = datasets[ds].to_numpy() + x, y = df[:, 0], df[:, 1] + + # pearson and spearman + r = pearsonr(x, y)[0] + rs = spearmanr(x, y)[0] + + # ccc + c, max_parts, parts = ccc(x, y, return_parts=True) + c = ccc(x, y) + + x_line_points, y_line_points = get_cm_line_points(x, y, max_parts, parts) + for yp in y_line_points: + ax.hlines(y=yp, xmin=-0.5, xmax=30, color="r", alpha=0.5) + + for xp in x_line_points: + ax.vlines(x=xp, ymin=-0.5, ymax=18, color="r", alpha=0.5) + + # add text box for the statistics + stats = ( + f"$\it{{p}}$ ={r: .2f}\n" + f"$\it{{s}}$ ={rs: .2f}\n" + f"$\it{{c}}$ ={c: .2f}" + ) + # stats = f"$c$ = {c:.2f}" + bbox = dict(boxstyle="round", fc="white", ec="black", alpha=0.75) + ax.text( + 0.95, + 0.75, + stats, + fontsize=14, + bbox=bbox, + transform=ax.transAxes, + horizontalalignment="right", + ) + ax.set_xlabel(f"{gene0_symbol}", fontstyle="italic") + ax.set_ylabel(f"{gene1_symbol}", fontstyle="italic") + ax.set(xticklabels=[], yticklabels=[]) + ax.tick_params(left=False, bottom=False) + + plt.savefig( + OUTPUT_FIGURE_DIR + / "gtex_brain_cerebellum_and_small_intestine_terminal_ileum-KDM6A_vs_UTY-males.svg", + # rasterized=True, + dpi=300, + bbox_inches="tight", + facecolor="white", + ) + +# %% [markdown] tags=[] +# ## Plot + +# %% tags=[] +with sns.plotting_context("paper", font_scale=1.8): + g = sns.FacetGrid( + data=datasets_df, + col="dataset", + col_order=[ + # "Brain cerebellum (all)", + # "Small intestine (terminal ileum) (all)", + "Brain cerebellum\n(males)", + "Small intestine (terminal ileum)\n(males)", + ], + col_wrap=2, + height=5, + ) + g.map(sns.scatterplot, gene0_symbol, gene1_symbol, s=50, alpha=1) g.set_titles(row_template="{row_name}", col_template="{col_name}") for ds, ax in g.axes_dict.items(): @@ -649,10 +690,14 @@ def get_cm_line_points(x, y, max_parts, parts): transform=ax.transAxes, horizontalalignment="right", ) + ax.set_xlabel(f"{gene0_symbol}", fontstyle="italic") + ax.set_ylabel(f"{gene1_symbol}", fontstyle="italic") + ax.set(xticklabels=[], yticklabels=[]) + ax.tick_params(left=False, bottom=False) plt.savefig( OUTPUT_FIGURE_DIR - / "gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-males.png", + / "gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-males.svg", # rasterized=True, dpi=300, bbox_inches="tight", @@ -665,15 +710,15 @@ def get_cm_line_points(x, y, max_parts, parts): data=datasets_df, col="dataset", col_order=[ - "Brain cerebellum (all)", - "Small intestine (terminal ileum) (all)", + "Brain cerebellum\n(males + females)", + "Small intestine (terminal ileum)\n(males + females)", # "Brain cerebellum (males)", # "Small intestine (terminal ileum) (males)", ], col_wrap=2, height=5, ) - g.map(sns.scatterplot, "x", "y", s=50, alpha=1) + g.map(sns.scatterplot, gene0_symbol, gene1_symbol, s=50, alpha=1) g.set_titles(row_template="{row_name}", col_template="{col_name}") for ds, ax in g.axes_dict.items(): @@ -707,14 +752,45 @@ def get_cm_line_points(x, y, max_parts, parts): transform=ax.transAxes, horizontalalignment="right", ) + ax.set_xlabel(f"{gene0_symbol}", fontstyle="italic") + ax.set_ylabel(f"{gene1_symbol}", fontstyle="italic") + ax.set(xticklabels=[], yticklabels=[]) + ax.tick_params(left=False, bottom=False) plt.savefig( OUTPUT_FIGURE_DIR - / "gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-all.png", + / "gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-all.svg", # rasterized=True, dpi=300, bbox_inches="tight", facecolor="white", ) +# %% [markdown] tags=[] +# # Create final figure + +# %% tags=[] +from svgutils.compose import Figure, SVG, Panel, Text + +# %% tags=[] +Figure( + f"{60.0767480 * 6}cm", + f"{60.0767480 * 6}cm", + # Panel( + # SVG(OUTPUT_FIGURE_DIR / "gtex_brain_cerebellum_and_small_intestine_terminal_ileum-KDM6A_vs_UTY-males.svg").scale(0.5), + # Text("a)", 2, 10, size=9, weight="bold"), + # ), + Panel( + SVG(OUTPUT_FIGURE_DIR / "gtex_brain_cerebellum_and_small_intestine_terminal_ileum-KDM6A_vs_UTY-males.svg").scale(0.5), + Text("a)", 2, 10, size=9, weight="bold"), + ),#.move(0, 180), + Panel( + SVG(OUTPUT_FIGURE_DIR / "gtex-KDM6A_vs_UTY-brain_cerebellum_and_small_intestine_terminal_ileum-clusters-all.svg").scale(0.5), + Text("b)", 2, 10, size=9, weight="bold"), + ).move(0, 170),#.move(0, 180+170), +).save(OUTPUT_FIGURE_DIR / "gtex-KDM6A_vs_UTY-nonlinear_and_linear.svg") + +# %% [markdown] tags=[] +# Now open the final file, reside to fit drawing to page, and add a white rectangle to the background. + # %% tags=[]