Package: FEAST
Type: Package
Title: FEAture SelcTion (FEAST) for Single-cell clustering
Version: 1.14.0
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: 2024-10-30 00:41:06 UTC; biocbuild
Author: Kenong Su [aut, cre],
  Hao Wu [aut]
Maintainer: Kenong Su <kenong.su@emory.edu>
git_url: https://git.bioconductor.org/packages/FEAST
git_branch: RELEASE_3_20
git_last_commit: 995a034
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.20
Date/Publication: 2024-10-29
Built: R 4.4.2; x86_64-apple-darwin13.4.0; 2024-12-22 12:00:24 UTC; unix
