DOI: 10.18129/B9.bioc.randRotation  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see randRotation.

Random Rotation Methods for High Dimensional Data with Batch Structure

Bioconductor version: 3.16

A collection of methods for performing random rotations on high-dimensional, normally distributed data (e.g. microarray or RNA-seq data) with batch structure. The random rotation approach allows exact testing of dependent test statistics with linear models following arbitrary batch effect correction methods.

Author: Peter Hettegger [aut, cre]

Maintainer: Peter Hettegger <p.hettegger at gmail.com>

Citation (from within R, enter citation("randRotation")):


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PDF R Script Random Rotation Package Introduction
PDF   Reference Manual
Text   NEWS


biocViews BatchEffect, BiomedicalInformatics, DifferentialExpression, GeneExpression, Genetics, MicroRNAArray, Microarray, Normalization, Preprocessing, RNASeq, Sequencing, Software, StatisticalMethod
Version 1.10.0
In Bioconductor since BioC 3.11 (R-4.0) (3 years)
License GPL-3
Imports methods, graphics, utils, stats, Rdpack (>= 0.7)
Suggests knitr, BiocParallel, lme4, nlme, rmarkdown, BiocStyle, testthat (>= 2.1.0), limma, sva
URL https://github.com/phettegger/randRotation
BugReports https://github.com/phettegger/randRotation/issues
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Source Package randRotation_1.10.0.tar.gz
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Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/randRotation
Bioc Package Browser https://code.bioconductor.org/browse/randRotation/
Package Short Url https://bioconductor.org/packages/randRotation/
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