randRotation-package {randRotation}R Documentation

randRotation: Random Rotation Methods for High Dimensional Data with Batch Structure

Description

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.

Details

Please refer to the package vignette for further details on usage and for a "quick start". rotateStat is the central function of the package. Methods are described in (Hettegger et al. 2021).

Author(s)

Maintainer: Peter Hettegger p.hettegger@gmail.com (ORCID)

References

Hettegger P, Vierlinger K, Weinhaeusel A (2021). “Random rotation for identifying differentially expressed genes with linear models following batch effect correction.” Bioinformatics. ISSN 1367-4803, doi: 10.1093/bioinformatics/btab063.

See Also

Useful links:


[Package randRotation version 1.6.0 Index]