ruv
0.9.7.1Detect and Remove Unwanted Variation using Negative Controls
Overview
Implements the 'RUV' (Remove Unwanted Variation) algorithms. These algorithms attempt to adjust for systematic errors of unknown origin in high-dimensional data. The algorithms were originally developed for use with genomic data, especially microarray data, but may be useful with other types of high-dimensional data as well. These algorithms were proposed in Gagnon-Bartsch and Speed (2012) doi:10.1093/nar/gkz433, Gagnon-Bartsch, Jacob and Speed (2013), and Molania, et. al. (2019) doi:10.1093/nar/gkz433. The algorithms require the user to specify a set of negative control variables, as described in the references. The algorithms included in this package are 'RUV-2', 'RUV-4', 'RUV-inv', 'RUV-rinv', 'RUV-I', and RUV-III', along with various supporting algorithms.
Install
Health
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 38%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
Author records are not tracked yet for this package.
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.9.7.1Latest
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.9.72018-03-12 · diff ↗
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.9.62015-07-18 · diff ↗
- 0.9.52015-05-20 · diff ↗
- RR 3.2.0 released · 2015-04-16
Show 2 earlier events
- 0.9.42014-10-24
- RR 3.1.0 released · 2014-04-10
Package metadata
- First published
- 2014-10-24
- Total releases
- 5 / 12 yrs
- License
- GPL
- Download size
- 42 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ruv")Cite the R Observatory
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