https://hawigerlab.r-universe.devRecent package updates in hawigerlabR-universehttps://github.com/hawigerlab.pnghttps://hawigerlab.r-universe.devTue, 28 Jul 2026 03:50:24 GMTrobert.kousnetsov@health.slu.edu (Robert Kousnetsov)This package provides functions used in Seqtometry (Kousnetsov et al. 2024), a method for analyzing single cell (scRNA-seq or scATAC-seq) data via signature (gene set) enrichment scores. The Seqtometry scores may be useful for annotating or characterizing cells, either in a flow cytometry like workflow (where scores are standalone features used for progressive partitoning as described in the Seqtometry publication) or in a cluster-based workflow (as features of clusters). The exported impute function (a port of Python's MAGIC-impute, van Dijk et al. 2018), may also be useful for single cell analysis on its own.https://github.com/r-universe/bioc/actions/runs/36226480382Tue, 28 Jul 2026 03:50:24 GMTSeqtometry1.1.1successhttps://bioc.r-universe.devhttps://github.com/bioc/SeqtometrySeqtometry.RmdSeqtometry.htmlSeqtometry vignette2026-01-11 19:27:092026-03-15 00:59:34