made4

Multivariate analysis of microarray data using ADE4

Bioconductor version: 3.23 · Package version: 1.86.0

Multivariate data analysis and graphical display of microarray data. Functions include for supervised dimension reduction (between group analysis) and joint dimension reduction of 2 datasets (coinertia analysis). It contains functions that require R package ade4.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("made4")

Details

Maintainer	Aedin Culhane <Aedin@jimmy.harvard.edu>
Author	Aedin Culhane
License	Artistic-2.0
URL	http://www.hsph.harvard.edu/aedin-culhane/
Downloads rank	886
Source branch	RELEASE_3_23
biocViews	Classification, Clustering, DimensionReduction, GeneExpression, Microarray, MultipleComparison, PrincipalComponent, Sequencing, Software, Transcriptomics

Documentation

Introduction to Multivariate Analysis of Gene Expression Data using MADE4

Download

Follow the installation instructions to use this package in your R session.

Source package	made4_1.86.0.tar.gz
Windows binary (x86_64)	made4_1.86.0.zip
macOS binary (arm64)	made4_1.86.0.tgz
macOS binary (x86_64)	made4_1.86.0.tgz

Dependencies

Depends: RColorBrewer, gplots, scatterplot3d, Biobase, SummarizedExperiment

Imports: ade4

Suggests: affy, BiocStyle, knitr, rmarkdown

Reverse dependencies

Imports Me (1): omicade4