randRotation-package {randRotation} | R Documentation |
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 (also non-linear) batch effect correction methods.
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).
Maintainer: Peter Hettegger p.hettegger@gmail.com (ORCID)
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, https://doi.org/10.1093/bioinformatics/btab063.
Useful links:
Report bugs at https://github.com/phettegger/randRotation/issues