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
| Maintainer | Jiehuan sun <jiehuan.sun@yale.edu> |
| Author | Jiehuan Sun [aut, cre], Jose Herazo-Maya [aut], Xiu Huang [aut], Naftali Kaminski [aut], and Hongyu Zhao [aut] |
| License | GPL-2 |
| Downloads rank | 348 |
| Source branch | devel |
| biocViews | GeneExpression, GeneSetEnrichment, ImmunoOncology, Microarray, RNASeq, Sequencing, Software, StatisticalMethod |
Download
Follow the 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 (arm64) | dcGSA_1.41.0.tgz |
| macOS binary (x86_64) | dcGSA_1.41.0.tgz |