You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thank you for developing this great and wel document package.
Wondering if EnrichmentBrowser can use scRNA-seq data input? If so, how would you recommend doing this? I am especially wondering if I should submit a pseudo-bulked count matrix or a single-cell level count matrix?
Looking forward to your reply.
The text was updated successfully, but these errors were encountered:
Hi @tim-meese thanks for your inquiry and sorry for the delay in getting back to you. It's a great question. Most of the enrichment methods available through the EnrichmentBrowser have been developed with bulk microarray and/or RNA-seq data in mind. As such pseudo-bulking would be the recommended approach for most methods when working with single-cell data.
That said the classic overrepresentation test (ORA, ie sbea(method = "ora")) works on fold changes and p-values in the rowData of your SummarizedExperiment/SingleCellExperiment. That means if you manage to add results of whatever differential expression test you prefer to the rowData then ORA could also be applied for single-cell level data.
Finally, GSVA is a method that computes single-sample gene set activity scores and that can be applied pretty much as-is also to single-cell data. Although for single-cell gene set activity scores you might want to rather turn to something more single-cell specific such as AUCell.
Hello
Thank you for developing this great and wel document package.
Wondering if
EnrichmentBrowser
can use scRNA-seq data input? If so, how would you recommend doing this? I am especially wondering if I should submit a pseudo-bulked count matrix or a single-cell level count matrix?Looking forward to your reply.
The text was updated successfully, but these errors were encountered: