#gsea
Live, measured metrics for the hashtag #gsea from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #gsea
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 20:47 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 20:47 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 20:47 UTCEverything below is measured over the latest 8 public posts (spanning ~30566 hours).
Posting hours (UTC)
Languages: English (7) · Spanish (1)
Avg boosts / post: 2
Top of the latest posts
Today I learned how to create an interactive HTML report for gene-set enrichment analysis in R. It allows readers to examine set-level results & drill down into the underlying gene-level statistics interactively. https://tomsing1.github.io/
Pipeline release! nf-core/differentialabundance v2.0.0 - v2.0.0 - 2026-06-23! Differential abundance analysis for feature/ observation matrices from platforms such as RNA-seq Please see the changelog: https://github.com/nf-core/differential
Looking for advice on FDR thresholds in #GSEA: Do you typically use FDR < 0.25 or FDR < 0.05 to determine significance? How does your threshold choice change depending on permutation_type='phenotype' vs. permutation_type='gene_set'? #bioinf
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/gsea