gPCA-package: Batch Effect Detection via Guided Principal Components Analysis
Description
This package implements guided principal components analysis for the detection of batch effects in high-throughput data.
Details
|
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 $\delta$ statistic and corresponding $p$-value, along with other useful measures for visualization.
References
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).