- recipe bioconductor-variancepartition
Quantify and interpret divers of variation in multilevel gene expression experiments
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/variancePartition.html
- License
GPL (>= 2)
- Recipe
- Links
biotools: variancepartition
Quantify and interpret multiple sources of biological and technical variation in gene expression experiments. Uses a linear mixed model to quantify variation in gene expression attributable to individual, tissue, time point, or technical variables. Includes dream differential expression analysis for repeated measures.
- package bioconductor-variancepartition¶
-
- Versions
1.24.0-0
,1.22.0-0
,1.20.0-1
,1.20.0-0
,1.18.0-0
,1.16.0-0
,1.14.1-0
,1.14.0-1
,1.12.3-0
,1.24.0-0
,1.22.0-0
,1.20.0-1
,1.20.0-0
,1.18.0-0
,1.16.0-0
,1.14.1-0
,1.14.0-1
,1.12.3-0
,1.12.0-0
,1.10.4-0
,1.8.1-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-limma
>=3.50.0,<3.51.0
r-base
>=4.1,<4.2.0a0
r-lme4
>=1.1-10
r-pbkrtest
>=0.4-4
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-variancepartition
and update with:
conda update bioconductor-variancepartition
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-variancepartition:<tag>
(see bioconductor-variancepartition/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-variancepartition/README.html)