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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 "microbiomeMarker" in publications use:'
type: software
license: GPL-3.0-only
title: 'microbiomeMarker: microbiome biomarker analysis toolkit'
version: 1.11.0
doi: 10.1093/bioinformatics/btac438
abstract: To date, a number of methods have been developed for microbiome marker discovery
  based on metagenomic profiles, e.g. LEfSe. However, all of these methods have its
  own advantages and disadvantages, and none of them is considered standard or universal.
  Moreover, different programs or softwares may be development using different programming
  languages, even in different operating systems. Here, we have developed an all-in-one
  R package microbiomeMarker that integrates commonly used differential analysis methods
  as well as three machine learning-based approaches, including Logistic regression,
  Random forest, and Support vector machine, to facilitate the identification of microbiome
  markers.
authors:
- family-names: Cao
  given-names: Yang
  email: caoyang.name@gmail.com
preferred-citation:
  type: article
  title: 'microbiomeMarker: an R/Bioconductor package for microbiome marker identification
    and visualization'
  authors:
  - family-names: Cao
    given-names: Yang
    email: caoyang.name@gmail.com
  - family-names: Dong
    given-names: Qingyang
  - family-names: Wang
    given-names: Dan
  - family-names: Zhang
    given-names: Pengcheng
  - family-names: Liu
    given-names: Ying
  - family-names: Niu
    given-names: Chao
  journal: Bioinformatics
  year: '2022'
  month: '6'
  doi: 10.1093/bioinformatics/btac438
repository: https://bioc.r-universe.dev
repository-code: https://github.com/yiluheihei/microbiomeMarker
url: https://github.com/yiluheihei/microbiomeMarker
contact:
- family-names: Cao
  given-names: Yang
  email: caoyang.name@gmail.com