Bioconductor-mirror/dcGSA: Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles
Version 1.5.0

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.

Getting started

Package details

AuthorJiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
Bioconductor views GeneExpression GeneSetEnrichment Microarray RNASeq Sequencing StatisticalMethod
MaintainerJiehuan sun <jiehuan.sun@yale.edu>
LicenseGPL-2
Version1.5.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/dcGSA")
Bioconductor-mirror/dcGSA documentation built on June 1, 2017, 7:31 a.m.