Package: FEAST
Type: Package
Title: FEAture SelcTion (FEAST) for Single-cell clustering
Version: 1.19.0
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: 2026-01-09 21:15:42 UTC; root
Author: Kenong Su [aut, cre], Hao Wu [aut]
Maintainer: Kenong Su <kenong.su@emory.edu>
Config/pak/sysreqs: libglpk-dev make libxml2-dev perl zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2025-10-29 15:08:37 UTC
RemoteUrl: https://github.com/bioc/FEAST
RemoteRef: HEAD
RemoteSha: 56aecc5db132b964a2aa56be4044d261f2560ddf
Built: R 4.6.0; x86_64-w64-mingw32; 2026-01-09 21:20:31 UTC; windows
Archs: x64
