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autonomics
This is the development version of autonomics; for the stable release version, see autonomics.
Unified Statistical Modeling of Omics Data
Bioconductor version: Development (3.23)
This package unifies access to Statistal Modeling of Omics Data. Across linear modeling engines (lm, lme, lmer, limma, and wilcoxon). Across coding systems (treatment, difference, deviation, etc). Across model formulae (with/without intercept, random effect, interaction or nesting). Across omics platforms (microarray, rnaseq, msproteomics, affinity proteomics, metabolomics). Across projection methods (pca, pls, sma, lda, spls, opls). Across clustering methods (hclust, pam, cmeans). Across survival methods (coxph, survdiff, coin). It provides a fast enrichment analysis implementation.
Author: Aditya Bhagwat [aut, cre], Richard Cotton [aut], Vanessa Beutgen [ctb], Witold Szymanski [ctb], Shahina Hayat [ctb], Laure Cougnaud [ctb], Hinrich Goehlmann [sad], Karsten Suhre [sad], Johannes Graumann [aut, sad]
Maintainer: Aditya Bhagwat <aditya.bhagwat at uni-marburg.de>
citation("autonomics")):
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("autonomics")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("autonomics")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.