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autonomics
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see autonomics.
Unified statistal Modeling of Omics Data
Bioconductor version: 3.19
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). It provides a fast enrichment analysis implementation. And an intuitive contrastogram visualisation to summarize contrast effects in complex designs.
Author: Aditya Bhagwat [aut, cre], Richard Cotton [aut], Shahina Hayat [aut], Laure Cougnaud [ctb], Witold Szymanski [ctb], Vanessa Beutgen [ctb], Willem Ligtenberg [sad], Hinrich Goehlmann [sad], Karsten Suhre [sad], Johannes Graumann [aut, sad, rth]
Maintainer: Aditya Bhagwat <aditya.bhagwat at uni-marburg.de>
citation("autonomics")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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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Follow Installation instructions to use this package in your R session.