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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("dcGSA")
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
Date of publicationNone
MaintainerJiehuan sun <jiehuan.sun@yale.edu>
LicenseGPL-2
Version1.4.0

View on Bioconductor

Files

DESCRIPTION
NAMESPACE
R
R/LDcov.R R/dcGSA.R R/dcGSAtest.R R/readGMT.R
data
data/dcGSAtest.rda
inst
inst/CITATION
inst/NEWS.Rd
inst/extdata
inst/extdata/sample.gmt.txt
man
man/LDcov.Rd man/dcGSA.Rd man/dcGSAtest.Rd man/readGMT.Rd
vignettes
vignettes/dcGSA.Rmd
vignettes/dcGSA.bib

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