dcGSA: Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles

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.

Package details

AuthorJiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
Bioconductor views GeneExpression GeneSetEnrichment ImmunoOncology Microarray RNASeq Sequencing StatisticalMethod
MaintainerJiehuan sun <jiehuan.sun@yale.edu>
LicenseGPL-2
Version1.18.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("dcGSA")

Try the dcGSA package in your browser

Any scripts or data that you put into this service are public.

dcGSA documentation built on Nov. 8, 2020, 7:53 p.m.