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dcGSA

This is the development version of dcGSA; for the stable release version, see dcGSA.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

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


Bioconductor version: Development (3.24)

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, enter citation("dcGSA")):

Jiehuan Sun, Jose Herazo-Maya, Xiu Huang, Naftali Kaminski, and Hongyu Zhao. dcGSA: Distance-correlation based Gene Set Analysis for longitudinal gene expression profiles. doi:10.18129/B9.bioc.dcGSA, R package version 1.41.0, https://bioconductor.org/packages/dcGSA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("dcGSA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

No vignettes available
Reference ManualPDF
NEWSText
Need some help? Ask on the Bioconductor Support site!

Details

biocViews GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, RNASeq, Sequencing, Software, StatisticalMethod
Version1.41.0
In Bioconductor sinceBioC 3.3 (R-3.3) (10.5 years)
License GPL-2
Depends R (>= 3.3), Matrix
Imports BiocParallel
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package dcGSA_1.41.0.tar.gz
Windows Binary (x86_64) dcGSA_1.41.0.zip
macOS Binary (big-sur-x86_64) dcGSA_1.41.0.tgz
macOS Binary (sonoma-arm64) dcGSA_1.41.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/dcGSA
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/dcGSA
Package Short Url https://bioconductor.org/packages/dcGSA/
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