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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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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: 1.20.0
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-release.r-universe.dev
commit: 7adb2de0fe4f8127fad14d6e1e10976b5dac7612
date-released: '2026-04-28'
contact:
- name: Zhou Yan
  email: 2160090406@email.szu.edu.cn