Comparing eGRNs between genotypes #278
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Raghav1881
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Hi @Raghav1881 This is not a straightforward task. As for the DARS. The easiest is to create a new variable merging the labels of the region and the condition, (for example CA1_WT, CA1_HET, CA1_KO). After this you can setup a contrast for each condition and region like this: contrasts = [
[ ["CA1_WT"], ["CA1_KO"] ], #contrast 1
[ ["CA1_WT"], ["CA1_HET"] ], # contrast 2
...
] I hope this helps. Good luck with your analysis. All the best, Seppe |
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Hi,
I have a multiome object derived from the mouse hippocampus and I am processing the object according to the melanoma cell lines vignette. Within my dataset metadata, I have a category for cluster annotations named 'region' which corresponds to anatomical regions and cell types within the hippocampus (e.g. CA1, dentate gyrus, inhibitory, etc.), and another category for my treatments (i.e. wildtype, heterozygous-knockout, homozygous-knockout).
I was wondering if I can generate eGRNs across treatments (i.e. wildtype vs heterozygous-knockout, wildtype vs homozygous-knockout) within each of the regions (regions being clusters for hippocampal regions). So for example, comparing treatments within the CA1 region and having eGRNs corresponding to the comparisons. I was considering taking a subsetting approach, by subsetting all of the objects by regions, then doing the comparisons, but wasn't sure if there was an easier way to go about it.
To further add, when calculating DARs, how should my contrasts be set up to compare the treatments mentioned above (WT vs HET, WT vs KO).
Thank you
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