autonomics
Unified statistal Modeling of Omics Data
Bioconductor version: Release (3.20)
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 [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")| autonomics_platformaware_analysis | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataImport, DifferentialExpression, DimensionReduction, GeneExpression, GeneSetEnrichment, MassSpectrometry, Metabolomics, Microarray, Preprocessing, PrincipalComponent, Proteomics, RNASeq, Regression, Software, Transcription, Transcriptomics |
| Version | 1.14.1 |
| In Bioconductor since | BioC 3.13 (R-4.1) (3.5 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, tidyr, tidyselect, tools, utils, vsn |
| System Requirements | |
| URL | https://gitlab.uni-marburg.de/fb20/ag-graumann/software/autonomics |
| Bug Reports | https://gitlab.uni-marburg.de/fb20/ag-graumann/software/autonomics |
See More
| Suggests | affy, AnnotationDbi, AnnotationHub, apcluster, Biobase, BiocManager, BiocStyle, Biostrings, diagram, DBI, e1071, ensembldb, GenomicDataCommons, GenomicRanges, GEOquery, 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, survival, survminer, 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.
| Source Package | autonomics_1.14.1.tar.gz |
| Windows Binary (x86_64) | autonomics_1.14.1.zip |
| macOS Binary (x86_64) | autonomics_1.14.1.tgz |
| macOS Binary (arm64) | autonomics_1.14.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/autonomics |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/autonomics |
| Bioc Package Browser | https://code.bioconductor.org/browse/autonomics/ |
| Package Short Url | https://bioconductor.org/packages/autonomics/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.20 | Source Archive |