Closed Jeron1996 closed 3 years ago
Hey Jeron,
Thanks for reaching out.
One issue I have with the approach you describe is comparisons at the level of a single cell. Due to drop-out effect, we expect to have a degree of heterogeneity among enrichment of cells derived from the same origin. When you are thinking about enrichment in single-cell, I would encourage the analysis at multiple cell levels or cluster level when possible.
So one thing I do is find the median enrichment of gene sets of interest by cluster or other categorical variable (like tissue) and just look at the data as a heatmap.
Hope that helps, feel free to reach out if you have any more questions! Nick
Hi Nick,
thanks for clearing this up for me. Now I also understand the GSEA approach in your clear cell renal carcinoma paper a lot more.
Cheers, Jeron
Thanks for this great package!
I have a question regarding the comparison of genesets within a cell. I want to use the C8 collection and determine which of those gene sets is the most enriched in a particular cell.
Currently, I am doing a z-transformation on the EnrichIT output for each gene set and then determine which gene set has the highest z-score within a particular cell. Could you comment on this approach and perhaps advise on a more streamlined method?
Best,
Jeron