I am currently trying to understand the purpose of these PCHeatmaps - part of the
seurat package in R:
All the online documentation I have searched for has only highlighted how it is used to observe heterogeneity in the data.. This much I understand.
My questions are:
- Are the genes in the rows of each PC plot just the most variable x
number of genes defined in
- If not, then how are each of these genes 'chosen' for use in the
- What would be the different conclusions/deductions drawn from the PC1 heatmap and PC2 heatmap with regards to heterogeneity for example?
- And finally, how can these conclusions help in the analysis of scRNASeq data?