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Bioconductor - autonomics (development version)

autonomics

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

Unified Statistical Modeling of Omics Data

Bioconductor version: Development (3.22)

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). 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 [ctb], Shahina Hayat [ctb], Laure Cougnaud [ctb], Witold Szymanski [ctb], Vanessa Beutgen [ctb], Willem Ligtenberg [ctb], Hinrich Goehlmann [ctb], Karsten Suhre [ctb], Johannes Graumann [aut, sad]

Maintainer: Aditya Bhagwat <aditya.bhagwat at uni-marburg.de>

Citation (from within R, enter citation("autonomics")): Installation

To install this package, start R (version "4.5") 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 biocViews DataImport, DifferentialExpression, DimensionReduction, GeneExpression, GeneSetEnrichment, MassSpectrometry, Metabolomics, Microarray, Preprocessing, PrincipalComponent, Proteomics, RNASeq, Regression, Software, Transcription, Transcriptomics Version 1.17.0 In Bioconductor since BioC 3.13 (R-4.1) (4 years) License GPL-3 Depends R (>= 4.0) Imports abind, BiocFileCache, BiocGenerics, bit64, cluster, 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, survival, tidyr, tidyselect, tools, utils, vsn System Requirements URL Bug Reports https://gitlab.uni-marburg.de/fb20/ag-graumann/software/autonomics/issues See More Suggests affy, AnnotationDbi, AnnotationHub, apcluster, Biobase, BiocManager, BiocStyle, Biostrings, coin, diagram, DBI, e1071, ensembldb, GenomicDataCommons, GenomicRanges, GEOquery, ggtext, hgu95av2.db, ICSNP, jsonlite, knitr, lme4, lmerTest, MASS, patchwork, 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, testthat, UniProt.ws, writexl, XML Linking To Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

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


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