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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 "dcGSA" in publications use:'
type: software
license: GPL-2.0-only
title: 'dcGSA: Distance-correlation based Gene Set Analysis for longitudinal gene
  expression profiles'
version: 1.33.0
abstract: Distance-correlation based Gene Set Analysis for longitudinal gene expression
  profiles. In longitudinal studies, the gene expression profiles were collected at
  each visit from each subject and hence there are multiple measurements of the gene
  expression profiles for each subject. The dcGSA package could be used to assess
  the associations between gene sets and clinical outcomes of interest by fully taking
  advantage of the longitudinal nature of both the gene expression profiles and clinical
  outcomes.
authors:
- family-names: sun
  given-names: Jiehuan
  email: jiehuan.sun@yale.edu
- family-names: Sun
  given-names: Jiehuan
- family-names: Herazo-Maya
  given-names: Jose
- family-names: Huang
  given-names: Xiu
- family-names: Kaminski
  given-names: Naftali
- family-names: Zhao
  given-names: Hongyu
preferred-citation:
  type: article
  title: Distance-correlation based Gene Set Analysis in Longitudinal Studies
  authors:
  - family-names: Sun
    given-names: Jiehuan
    email: jiehuan.sun@yale.edu
  - family-names: Herazo-Maya
    given-names: Jose
  - family-names: Huang
    given-names: Xiu
  - family-names: Kaminski
    given-names: Naftali
  - family-names: Zhao
    given-names: Hongyu
  journal: bioRxiv
  year: '2015'
repository: https://bioc.r-universe.dev
date-released: '2016-11-01'
contact:
- family-names: sun
  given-names: Jiehuan
  email: jiehuan.sun@yale.edu
- family-names: Sun
  given-names: Jiehuan