A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics R package DIscBIO version 1.2.3 CRAN Task View: Omics (https://CRAN.R-project.org/view=Omics) An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. More details on Ghannoum et. al. (2021) <doi:10.3390/ijms22031399>. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>. Software Depends: R (>= 4.0), SingleCellExperiment Imports: methods, TSCAN, httr, mclust, statmod, igraph, RWeka, vegan, NetIndices, png, grDevices, RColorBrewer, ggplot2, rpart, fpc, cluster, rpart.plot, tsne, graphics, stats, utils, impute, withr Suggests: testthat, Seurat, org.Hs.eg.db, AnnotationDbi Waldir Leoncio <w.l.netto@medisin.uio.no> Comprehensive R Archive Network (CRAN) Salim Ghannoum [aut, cph], Alvaro Köhn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=DIscBIO/LICENSE) 2026-01-08 application/tgz https://CRAN.R-project.org/package=DIscBIO doi:10.32614/CRAN.package.DIscBIO en-US