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randRotation

Random Rotation Methods for High Dimensional Data with Batch Structure

Bioconductor version: 3.23 · Package version: 1.24.0

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.

Installation

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

BiocManager::install("randRotation")

Details

MaintainerPeter Hettegger <p.hettegger@gmail.com>
AuthorPeter Hettegger [aut, cre] (ORCID: <https://orcid.org/0000-0001-8557-588X>)
LicenseGPL-3
URLhttps://github.com/phettegger/randRotation
Bug Reportshttps://github.com/phettegger/randRotation/issues
Downloads rank189
Source branchRELEASE_3_23
biocViewsBatchEffect, BiomedicalInformatics, DifferentialExpression, GeneExpression, Genetics, MicroRNAArray, Microarray, Normalization, Preprocessing, RNASeq, Sequencing, Software, StatisticalMethod

Documentation

Download

Dependencies

Imports: methods, graphics, utils, stats, Rdpack (>= 0.7)

Suggests: knitr, BiocParallel, lme4, nlme, rmarkdown, BiocStyle, testthat (>= 2.1.0), limma, sva