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.

AuthorJiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut]
Date of publicationNone
MaintainerJiehuan sun <jiehuan.sun@yale.edu>
LicenseGPL-2
Version1.2.0

View on Bioconductor

Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.