Package: FEAST Type: Package Title: FEAture SelcTion (FEAST) for Single-cell clustering Version: 1.21.0 Authors@R: c(person("Kenong","Su", email ="kenong.su@emory.edu", role = c("aut","cre")),person("Hao","Wu", email ="hao.wu@emory.edu", role ="aut")) Description: Cell clustering is one of the most important and commonly performed tasks in single-cell RNA sequencing (scRNA-seq) data analysis. An important step in cell clustering is to select a subset of genes (referred to as “features”), whose expression patterns will then be used for downstream clustering. A good set of features should include the ones that distinguish different cell types, and the quality of such set could have significant impact on the clustering accuracy. FEAST is an R library for selecting most representative features before performing the core of scRNA-seq clustering. It can be used as a plug-in for the etablished clustering algorithms such as SC3, TSCAN, SHARP, SIMLR, and Seurat. The core of FEAST algorithm includes three steps: 1. consensus clustering; 2. gene-level significance inference; 3. validation of an optimized feature set. License: GPL-2 Encoding: UTF-8 LazyData: true Depends: R (>= 4.1), mclust, BiocParallel, SummarizedExperiment biocViews: Sequencing, SingleCell, Clustering, FeatureExtraction BugReports: https://github.com/suke18/FEAST/issues Imports: SingleCellExperiment, methods, stats, utils, irlba, TSCAN, SC3, matrixStats Suggests: rmarkdown, Seurat, ggpubr, knitr, testthat (>= 3.0.0), BiocStyle VignetteBuilder: knitr RoxygenNote: 7.1.1 NeedsCompilation: yes Packaged: 2026-07-04 23:05:34 UTC; root Author: Kenong Su [aut, cre], Hao Wu [aut] Maintainer: Kenong Su Config/pak/sysreqs: cmake libglpk-dev make libuv1-dev libxml2-dev perl zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:55:50 UTC RemoteUrl: https://github.com/bioc/FEAST RemoteRef: HEAD RemoteSha: 5afc122f1a31e3e75c3b896a2b495a7dac62a8f0