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2.8 years ago
Omics data mining
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260
Hello everyone
I have 10X visium spatial transcriptome data from four samples. I am new in this field. These samples are divided into two groups : controls (2) and treated (2). Data was processed with spaceranger pipeline and followed by clusters identification based on the seurat R package.
Now I would like to identify the variance across the samples : a) across the replicates b) across the conditional groups. condition specific. I am looking for suitable methods to study the sample variance .
I would appreciate all the suggestions.
Thanks
You could merge the samples spots (here the spatial information will not be used ; only the expression data) with seurat merge ; then perform a PCA / tsNE / UMAP to look at the spots distribution. You can check in this github that use multiCCA to perform the merge : https://github.com/almaan/ST-mLiver and more specifically in this script https://github.com/almaan/ST-mLiver/blob/master/scripts/Liver_ST.Rmd (starts at line 354).
Thx for the sharing those links. Its really helpful.
I already have merged seurat object. Based on the HVFInfo function, I got the "gmean , variance ,residual_variance" column data from merged seurat object.
But at this step, its giving me variance from the entire dataset. I want to calculate the variance from each sample. I might need to subset the integrated object based on the sample id and then apply the HVFInfo .