phenoTest
Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.
Bioconductor version: 3.24 · Package version: 1.61.0
Tools to test correlation between gene expression and phenotype in a way that is efficient, structured, fast and scalable. GSEA is also provided.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("phenoTest")Details
| Maintainer | Evarist Planet <evarist.planet@epfl.ch> |
| Author | Evarist Planet |
| License | GPL (>=2) |
| Downloads rank | 732 |
| Source branch | devel |
| biocViews | Classification, Clustering, DifferentialExpression, Microarray, MultipleComparison, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | phenoTest_1.61.0.tar.gz |
| Windows binary (x86_64) | phenoTest_1.61.0.zip |
| macOS binary (arm64) | phenoTest_1.61.0.tgz |
| macOS binary (x86_64) | phenoTest_1.61.0.tgz |
Dependencies
Depends: R (>= 3.6.0), Biobase, methods, annotate, Heatplus, BMA, ggplot2, Hmisc
Imports: survival, limma, gplots, Category, AnnotationDbi, hopach, biomaRt, GSEABase, genefilter, xtable, annotate, mgcv, hgu133a.db, ellipse
Enhances: parallel, org.Ce.eg.db, org.Mm.eg.db, org.Rn.eg.db, org.Hs.eg.db, org.Dm.eg.db
Reverse dependencies
Imports Me (1): canceR