Description Details Author(s) References See Also
This package implements guided principal components analysis for the detection of batch effects in high-throughput data.
| Package: | gPCA |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2013-07-25 |
| License: | GPL (>=2) |
The function gPCA.batchdetect() is used to perform the batch detection test and outputs the
resulting δ statistic and corresponding p-value, along with other useful measures for visualization.
Sarah Reese
Maintainer: Sarah Reese reesese@vcu.edu
Reese, S. E., Archer, K. J., Therneau, T. M., Atkinson, E. J., Vachon, C. M., de Andrade, M., Kocher, J. A., and Eckel-Passow, J. E. A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal components analysis. Bioinformatics, (in review).
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.