Added zenodo data

03_session6.Rmd

@@ -50,6 +50,20 @@ untar(tarfile = file.path(data_directory, "V1_Adult_Mouse_Brain_spatial.tar.gz")
       exdir = data_directory)
 ```
 
+## Downloading giotto object and nuclei segmentation
+We will need nuclue/cell segmentations to perform the kirging. Later in the tutorial we'll also be using a premade giotto object. Download them using the following:
+
+```{r}
+destfile = file.path(data_directory, 'subcellular_gobject.zip')
+
+options(timeout = 9999999) # Needed to download large files
+
+download.file('https://zenodo.org/records/13144556/files/Day3_Session6.zip?download=1', destfile = destfile)
+
+unzip(file.path(data_directory, 'subcellular_gobject.zip'), exdir = data_directory)
+```
+
+
 ## Importing visium data
 
 We're going to begin by creating a Giotto object for the visium mouse brain dataset. This tutorial won't go into detail about each of these steps as these have been covered for this dataset in section 6. To get the best results when performing gene expression interpolation we need to identify spatially distinct genes. Therefore, we need to perform nearest neighbour to create a spatial network.