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

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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]
Date of publication
None
Maintainer
Jiehuan sun <jiehuan.sun@yale.edu>
License
GPL-2
Version
1.2.0

View on Bioconductor

Man pages

dcGSA
Perform gene set analysis for longitudinal gene expression...
dcGSAtest
dcGSA test data
LDcov
Calculate longitudinal distance covariance statistics.
readGMT
Read gene set file in gmt format

Files in this package

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