| ruv-package {ruv} | R Documentation |
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', and 'RUV-rinv', along with various supporting algorithms.
| Package: | ruv |
| Type: | Package |
| Version: | 0.9.6 |
| Date: | 2015-07-17 |
| License: | GPL |
| LazyLoad: | yes |
| URL: | http://www.stat.berkeley.edu/~johann/ruv |
Additional resources can be found at http://www.stat.berkeley.edu/~johann/ruv.
Johann Gagnon-Bartsch <johanngb@umich.edu>
Using control genes to correct for unwanted variation in microarray data. Gagnon-Bartsch and Speed, 2012. Available at: http://biostatistics.oxfordjournals.org/content/13/3/539.full.
Removing Unwanted Variation from High Dimensional Data with Negative Controls. Gagnon-Bartsch, Jacob, and Speed, 2013. Available at: http://statistics.berkeley.edu/tech-reports/820.
RUV2, RUV4, RUVinv, RUVrinv, variance_adjust