#limma
Live, measured metrics for the hashtag #limma from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #limma
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 2026-10-19 01:40 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 2026-10-19 01:40 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-19 01:40 UTCEverything below is measured over the latest 5 public posts (spanning ~31074 hours).
Posting hours (UTC)
Languages: English (5)
Avg boosts / post: 1.8
Top of the latest posts
@haojiawu @biorxivpreprint this is very interesting. I have been telling people that one of the main reasons for using #RStats instead of #python for gene expression analysis, is the lack of methods such as #DESeq2 or #limma as python libra
Wow, this paper on #scRNAseq and differential expression methods is an eye opener. https://www.nature.com/articles/s41467-021-25960-2 Nice overview of methods and relatively easy to understand explanation of what is wrong with certain, espe
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
What “limma” means
WikipediaThe word limma or leimma can refer to several different musical intervals, and one form of breath-mark to indicate spacing within lyrics; their only common property is that all are very small either in pitch difference or in time.
“Limma” on Wikipedia (CC BY-SA) →#limma across platforms
every network with a public tag surfaceFollow #limma 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/limma