- recipe bioconductor-pvca
Principal Variance Component Analysis (PVCA)
- Homepage:
- License:
LGPL (>= 2.0)
- Recipe:
- Links:
biotools: pvca, doi: 10.1002/9780470685983.ch12
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.
- package bioconductor-pvca¶
-
- Versions:
1.38.0-0
,1.34.0-0
,1.32.0-0
,1.30.0-1
,1.30.0-0
,1.28.0-0
,1.26.0-0
,1.24.0-1
,1.22.0-0
,1.38.0-0
,1.34.0-0
,1.32.0-0
,1.30.0-1
,1.30.0-0
,1.28.0-0
,1.26.0-0
,1.24.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-0
- Depends:
bioconductor-biobase
>=2.58.0,<2.59.0
bioconductor-vsn
>=3.66.0,<3.67.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-pvca
and update with:
conda update bioconductor-pvca
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-pvca:<tag>
(see bioconductor-pvca/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-pvca/README.html)