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ruv

Detect and Remove Unwanted Variation using Negative Controls

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.

Versions across snapshots

VersionRepositoryFileSize
0.9.7.1 rolling linux/jammy R-4.5 ruv_0.9.7.1.tar.gz 277.5 KiB
0.9.7.1 rolling linux/noble R-4.5 ruv_0.9.7.1.tar.gz 277.6 KiB
0.9.7.1 rolling source/ R- ruv_0.9.7.1.tar.gz 41.9 KiB
0.9.7.1 latest linux/jammy R-4.5 ruv_0.9.7.1.tar.gz 277.5 KiB
0.9.7.1 latest linux/noble R-4.5 ruv_0.9.7.1.tar.gz 277.6 KiB
0.9.7.1 latest source/ R- ruv_0.9.7.1.tar.gz 41.9 KiB
0.9.7.1 2026-04-26 source/ R- ruv_0.9.7.1.tar.gz 41.9 KiB
0.9.7.1 2026-04-23 source/ R- ruv_0.9.7.1.tar.gz 41.9 KiB
0.9.7.1 2026-04-09 windows/windows R-4.5 ruv_0.9.7.1.zip 284.4 KiB
0.9.7.1 2025-04-20 source/ R- ruv_0.9.7.1.tar.gz 41.9 KiB

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