pvca v1.8.0
by Jianying LI
Principal Variance Component Analysis (PVCA)
This package contains the function to assess the batch
sourcs by fitting all "sources" as random effects including
two-way interaction terms in the Mixed Model(depends on lme4
package) to selected principal components, which were obtained
from the original data correlation matrix. This package
accompanies the book "Batch Effects and Noise in Microarray
Experiements, chapter 12.
Functions in pvca
| Name | Description | |
| pvcaBatchAssess | Principal Variance Component Analysis (PVCA) | |
| pvca-package | A package that provides an approach to assess the source of batch effects in a microarray gene expression experiment | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2013-09-25 |
| License | LGPL (>= 2.0) |
| LazyLoad | yes |
| Packaged | 2013-09-25 18:27:06 UTC; bolker |
| biocViews | Microarray, BatchEffect |
| imports | Biobase , lme4 , Matrix , vsn |
| suggests | golubEsets |
| depends | R (>= 2.15.1) |
| Contributors | Pierre Bushel |
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