Package: CAEN
Type: Package
Title: Category encoding method for selecting feature genes for the
        classification of single-cell RNA-seq
Version: 1.20.0
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,BiocManager,SummarizedExperiment,BiocStyle
VignetteBuilder: knitr
RoxygenNote: 7.1.1
Imports: stats,PoiClaClu,SummarizedExperiment,methods
Config/pak/sysreqs: zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:54:41 UTC
RemoteUrl: https://github.com/bioc/CAEN
RemoteRef: RELEASE_3_23
RemoteSha: 7adb2de0fe4f8127fad14d6e1e10976b5dac7612
NeedsCompilation: no
Packaged: 2026-07-08 05:22:33 UTC; root
Author: Zhou Yan [aut, cre]
Maintainer: Zhou Yan <2160090406@email.szu.edu.cn>