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autonomics

This is the development version of autonomics; for the stable release version, see autonomics.

Unified statistal Modeling of Omics Data


Bioconductor version: Development (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 (from within R, enter citation("autonomics")):

Installation

To install this package, start R (version "4.4") 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

Reference Manual PDF

Details

biocViews DataImport, DifferentialExpression, DimensionReduction, GeneExpression, GeneSetEnrichment, MassSpectrometry, Metabolomics, Microarray, Preprocessing, PrincipalComponent, Proteomics, RNASeq, Regression, Software, Transcription, Transcriptomics
Version 1.11.102
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License GPL-3
Depends R (>= 4.0)
Imports abind, BiocFileCache, BiocGenerics, bit64, codingMatrices, colorspace, data.table, dplyr, edgeR, ggforce, ggplot2, ggrepel, graphics, grDevices, grid, gridExtra, limma, magrittr, matrixStats, methods, MultiAssayExperiment, parallel, RColorBrewer, rlang, R.utils, readxl, S4Vectors, scales, stats, stringi, SummarizedExperiment, tidyr, tidyselect, tools, utils, vsn
System Requirements
URL https://github.com/bhagwataditya/autonomics
Bug Reports https://github.com/bhagwataditya/autonomics
See More
Suggests affy, AnnotationDbi, AnnotationHub, apcluster, BiocManager, BiocStyle, Biostrings, diagram, DBI, ensembldb, fpc, GenomicDataCommons, GenomicRanges, GEOquery, hgu95av2.db, ICSNP, jsonlite, knitr, lme4, lmerTest, MASS, mixOmics, mpm, nlme, OlinkAnalyze, org.Hs.eg.db, org.Mm.eg.db, pcaMethods, pheatmap, progeny, propagate, RCurl, RSQLite, remotes, rmarkdown, ropls, Rsubread, readODS, rtracklayer, statmod, survival, survminer, testthat, UniProt.ws, writexl, XML
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/autonomics
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/autonomics
Package Short Url https://bioconductor.org/packages/autonomics/
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