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dcGSA

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

Bioconductor version: 3.24 · Package version: 1.41.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("dcGSA")

Details

MaintainerJiehuan sun <jiehuan.sun@yale.edu>
AuthorJiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
LicenseGPL-2
Downloads rank348
Source branchdevel
biocViewsGeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, RNASeq, Sequencing, Software, StatisticalMethod

Download

Follow the installation instructions to use this package in your R session.

Source packagedcGSA_1.41.0.tar.gz
Windows binary (x86_64)dcGSA_1.41.0.zip
macOS binary (arm64)dcGSA_1.41.0.tgz
macOS binary (x86_64)dcGSA_1.41.0.tgz
Dependencies

Depends: R (>= 3.3), Matrix

Imports: BiocParallel

Suggests: knitr