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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "CAEN" in publications use:'
type: software
license: GPL-2.0-only
title: 'CAEN: Category encoding method for selecting feature genes for the classification
  of single-cell RNA-seq'
version: 1.13.0
doi: 10.32614/CRAN.package.CAEN
abstract: 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.
authors:
- name: Zhou Yan
  email: 2160090406@email.szu.edu.cn
repository: https://bioc.r-universe.dev
commit: b7293e6f36ea5c894d6984befef4d916afec9151
contact:
- name: Zhou Yan
  email: 2160090406@email.szu.edu.cn