Package: MEB
Type: Package
Title: A normalization-invariant minimum enclosing ball method to
        detect differentially expressed genes for RNA-seq and scRNA-seq
        data
Version: 1.16.0
Author: Yan Zhou, Jiadi Zhu
Maintainer: Jiadi Zhu <2160090406@email.szu.edu.cn>,
 Yan Zhou <zhouy1016@szu.edu.cn>
Description: This package provides a method to identify differential expression 
    genes in the same or different species. Given that non-DE genes have some 
    similarities in features, a scaling-free minimum enclosing ball (SFMEB)
    model is built to cover those non-DE genes in feature space, then those DE 
    genes, which are enormously different from non-DE genes, being regarded as 
    outliers and rejected outside the ball. The method on this package is 
    described in the article 'A minimum enclosing ball method to detect 
    differential expression genes for RNA-seq data'. The SFMEB method is 
    extended to the scMEB method that considering two or more potential types 
    of cells or unknown labels scRNA-seq dataset DEGs identification.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Suggests: knitr,rmarkdown,BiocStyle
VignetteBuilder: knitr
RoxygenNote: 7.2.3
Imports: e1071, edgeR, scater, stats, wrswoR, SummarizedExperiment,
        SingleCellExperiment
biocViews: DifferentialExpression, GeneExpression, Normalization,
        Classification, Sequencing
git_url: https://git.bioconductor.org/packages/MEB
git_branch: RELEASE_3_18
git_last_commit: 7cf03db
git_last_commit_date: 2023-10-24
Date/Publication: 2023-10-24
NeedsCompilation: no
Packaged: 2023-10-24 21:48:52 UTC; biocbuild
Built: R 4.3.2; ; 2023-12-23 03:12:36 UTC; unix
