Package: CAEN
Type: Package
Title: Category encoding method for selecting feature genes for the
        classification of single-cell RNA-seq
Version: 1.6.0
Authors@R: person("Zhou Yan", email = "2160090406@email.szu.edu.cn", 
     role = c("aut", "cre"))
Description: With the development of high-throughput techniques, 
     more and more gene expression analysis tend to replace 
     hybridization-based microarrays with the revolutionary 
     technology.The novel method encodes the category again by 
     employing the rank of samples for each gene in each class. 
     We then consider the correlation coefficient of gene and class 
     with rank of sample and new rank of category. The highest 
     correlation coefficient genes are considered as the feature 
     genes which are most effective to classify the samples.
License: GPL-2
Encoding: UTF-8
LazyData: true
biocViews: DifferentialExpression, Sequencing, Classification, RNASeq,
        ATACSeq, SingleCell, GeneExpression, RIPSeq
Depends: R (>= 4.1)
Suggests: knitr,rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Imports: stats,PoiClaClu,SummarizedExperiment,methods
git_url: https://git.bioconductor.org/packages/CAEN
git_branch: RELEASE_3_16
git_last_commit: ceea9cc
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-07
NeedsCompilation: no
Packaged: 2022-11-08 07:30:07 UTC; biocbuild
Author: Zhou Yan [aut, cre]
Maintainer: Zhou Yan <2160090406@email.szu.edu.cn>
Built: R 4.2.1; ; 2022-11-10 01:12:23 UTC; unix
