Hi all, we recently submitted a manuscript for publication that explores how the human brain got to be so big (spoiler: turns out to unintuitively be the downregulation of mitochondria).
As part of this, I ran an RNAseq experiment to looks at gene expression networks, binning genes into categories called “GO terms.” Rather than a traditional Gene Set Enrichment Analysis (GSEA) plot, I used an observablehq lollipop plot. I found this to be much more intuitive and easy to understand than a traditional GSEA plot for this use case. I’m hoping that the reviewers will agree! So this figure is now live in a publication on a preprint server, undergoing peer review. Just thought I’d share. Cheers!