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 by Gagnon-Bartsch and Speed (2012), and by Gagnon-Bartsch, Jacob and Speed (2013). 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.


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install.packages("ruv")

0.9.7 by Johann Gagnon-Bartsch, 10 months ago


http://www-personal.umich.edu/~johanngb/ruv/


Browse source code at https://github.com/cran/ruv


Authors: Johann Gagnon-Bartsch <[email protected]>


Documentation:   PDF Manual  


GPL license


Imports stats, ggplot2, scales, gridExtra

Suggests shiny, colourpicker


Imported by cate.


See at CRAN