Skip to content

Releases: Starlitnightly/omicverse

v1.4.0

27 May 20:35
Compare
Choose a tag to compare

bulk2single module

  • add BulkTrajBlend method in bulk2single

single module

  • fix the error of scnocd model
  • add save, load, and get_pair_dict of scnocd model

utils

  • add mde method in utils
  • add gz format support for utils.read

v1.3.1

18 May 19:37
Compare
Choose a tag to compare

single module

v.1.2.11

17 May 11:11
Compare
Choose a tag to compare

bulk module

  • fix wilcoxon method in pyDEG.deg_analysis
  • add the parameter setting of treatment and control group's name in pyDEG.plot_boxplot
  • fix the figure display not entire of pyWGCNA.plot_matrix
  • fix the category correlation failed by ont-hot in pyWGCNA.analysis_meta_correlation
  • fix the network display failed in pyWGCNA.plot_sub_network and updated the utils.plot_network to avoid this error.

v.1.3.0

17 May 19:19
Compare
Choose a tag to compare

bulk module

  • add DEseq2 method to pyDEG.deg_analysis
  • add pyGSEA module in bulk
  • change the name of raw pyGSEA to pyGSE in bulk
  • add get_gene_annotation of utils to perform gene_name transformation

v.1.2.10

15 May 10:02
Compare
Choose a tag to compare

renamed the package to omicverse

single module

  • fix the argument error of pySCSA

bulk2single module

  • update the plot argument of bulk2single

v1.2.9

07 May 09:32
Compare
Choose a tag to compare

bulk module

  • fix the duplicates_index mapping of Matrix_ID_mapping
  • fix the hub genes plot of pyWGCNA.plot_sub_network
  • fix the backupgene of pyGSEA.geneset_enrichment to support the rare species
  • add the module matrix plot in pyWGCNA.plot_matrix

single module

  • add the rank_genes_groups check in pySCSA

bulk2single module

  • fix the import error of deepforest

v.1.2.8

12 Apr 16:09
Compare
Choose a tag to compare

Install

  • fix the error of pip in install

bulk2single module

  • Change the deep-forest of Single2Spatial to Neuron Network to perform classification task
  • The entire Single2Spatial inference process is accelerated using the GPU, and can be estimated at the batch level by modifying the set predicted_size, the original author's function is estimated spot by spot, which is very inefficient
  • Update the logical of Single2Spatial.load to accelerate model loading

v.1.2.5

08 Apr 08:52
Compare
Choose a tag to compare

single module:

  • Add pyVIA module include run, plot_piechart_graph, plot_stream, plot_trajectory_gams, plot_lineage_probability, plot_gene_trend, plot_gene_trend_heatmap, plot_clustergraph
  • Fix the error of warning of utils.pyomic_plot_set
  • Update the requirements included pybind11, hnswlib, termcolor, pygam, pillow, gdown

v.1.2.1

06 Apr 20:13
Compare
Choose a tag to compare

single module:

  • Add pySCSA module included cell_anno, cell_anno_print, cell_auto_anno, get_model_tissue
  • Update the pySCSA tutorial that can be found at here
  • Add filter the doublets cells of single.scanpy_lazy
  • Add single.scanpy_cellanno_from_dict to annotate easier
  • Updated the database of SCSA from CellMarker2.0
  • Fix the error database key Ensembl_HGNC and Ensembl_Mouse of SCSA

v1.2.0

05 Apr 12:03
Compare
Choose a tag to compare

Update bulk and bulk2single code reference

bulk module:

  • Fix the cutoff parameter non-vaild on bulk.geneset_enrichment
  • Add pyPPI,pyGSEA,pyWGCNA,pyTCGA,pyDEG module.

bulk2single module:

  • Add the bulk2single.save to save model by manual