#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 · mastodon.social (Mastodon public tags API) · fetched 2026-10-14 15:42 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-10-14 15:42 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-14 15:42 UTCEverything below is measured over the latest 11 public posts (spanning ~31647 hours).
Posting hours (UTC)
Languages: English (10) · Spanish (1)
Avg boosts / post: 1.5
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/
EPHX2 regulates intestinal barrier repair in ulcerative colitis. 🧬 543 DEGs: 348 up, 209 down 🧫 Single-cell: EPHX2 down 🐭 DSS colitis mouse model validates 🔬 EPHX2 deficiency hinders healing 📉 GSEA links EPHX2 to mucosal healing 🔗 Pot
EPHX2 regulates intestinal barrier repair in ulcerative colitis. 🧬 543 DEGs: 348 up, 209 down 🧫 Single-cell: EPHX2 down 🐭 DSS colitis mouse model validates 🔬 EPHX2 deficiency hinders healing 📉 GSEA links EPHX2 to mucosal healing 🔗 Pot
What “gsea” means
WikipediaGene set enrichment analysis (GSEA) (also called functional enrichment analysis or pathway enrichment analysis) is a method to identify classes of genes or proteins that are over-represented in a large set of genes or proteins, and may have an association with different phenotypes (e.g. different organism growth patterns or diseases). The method uses statistical approaches to identify significantly enriched or depleted groups of genes. Transcriptomics technologies and proteomics results often id
“Gene set enrichment analysis” on Wikipedia (CC BY-SA) →#gsea across platforms
every network with a public tag surfaceFollow #gsea straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
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