Detect and Remove Unwanted Variation using Negative Controls R package ruv version 0.9.7.1 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. Software Imports: stats, ggplot2, scales, gridExtra Suggests: shiny, colourpicker Johann Gagnon-Bartsch <johanngb@umich.edu> Comprehensive R Archive Network (CRAN) Johann Gagnon-Bartsch <johanngb@umich.edu> GPL 2019-08-30 application/tgz https://CRAN.R-project.org/package=ruv doi:10.32614/CRAN.package.ruv