Package: dcGSA
Type: Package
Title: Distance-correlation based Gene Set Analysis for longitudinal
        gene expression profiles
Version: 1.40.0
Date: 2016-11-01
Depends: R (>= 3.3), Matrix
Imports: BiocParallel
Suggests: knitr
VignetteBuilder: knitr
Author: Jiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang
        [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
Maintainer: Jiehuan sun <jiehuan.sun@yale.edu>
Description: 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.
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
biocViews: ImmunoOncology, GeneSetEnrichment,Microarray,
        StatisticalMethod, Sequencing, RNASeq, GeneExpression
NeedsCompilation: no
git_url: https://git.bioconductor.org/packages/dcGSA
git_branch: RELEASE_3_23
git_last_commit: 25a06e7
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
Packaged: 2026-04-28 21:53:04 UTC; biocbuild
Built: R 4.6.0; ; 2026-04-29 04:39:31 UTC; unix
