randRotation
Random Rotation Methods for High Dimensional Data with Batch Structure
Bioconductor version: 3.24 · Package version: 1.25.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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
| Maintainer | Peter Hettegger <p.hettegger@gmail.com> |
| Author | Peter Hettegger [aut, cre] (ORCID: <https://orcid.org/0000-0001-8557-588X>) |
| License | GPL-3 |
| URL | https://github.com/phettegger/randRotation |
| Bug Reports | https://github.com/phettegger/randRotation/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | BatchEffect, BiomedicalInformatics, DifferentialExpression, GeneExpression, Genetics, MicroRNAArray, Microarray, Normalization, Preprocessing, RNASeq, Sequencing, Software, StatisticalMethod |
| Package Short Url | https://bioconductor.org/packages/randRotation/ |
Citation
From within R, enter citation("randRotation"):
Peter Hettegger. randRotation: Random Rotation Methods for High Dimensional Data with Batch Structure. doi:10.18129/B9.bioc.randRotation, R package version 1.25.0, https://bioconductor.org/packages/randRotation.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Dependencies
Imports: methods, graphics, utils, stats, Rdpack (>= 0.7)
Suggests: knitr, BiocParallel, lme4, nlme, rmarkdown, BiocStyle, testthat (>= 2.1.0), limma, sva