This is the development version of dcGSA; for the stable release version, see dcGSA.
Distance-correlation based Gene Set Analysis for longitudinal gene expression profilesBioconductor version: Development (3.22)
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.
Author: Jiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
Maintainer: Jiehuan sun <jiehuan.sun at yale.edu>
Citation (from within R, entercitation("dcGSA")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("dcGSA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation Details See More Suggests knitr Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package ArchivesFollow Installation instructions to use this package in your R session.
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