Enables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
When I choose Welch's t-test(diffxpy) from VIP DEG, I got different list of genes when I run the below line in R:
the logfc from VIP looks weird something like 1071.22 which is very big.