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.
Package details |
|
---|---|
Bioconductor views | DataImport DifferentialExpression DimensionReduction GeneExpression GeneSetEnrichment MassSpectrometry Metabolomics Microarray Preprocessing PrincipalComponent Proteomics RNASeq Regression Software Transcription Transcriptomics |
Maintainer | |
License | GPL-3 |
Version | 1.13.26 |
URL | https://github.com/bhagwataditya/autonomics |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.