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

/bioconductor-variancepartition/meta.yaml

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-doparallel

• r-foreach

• r-ggplot2

• r-gplots

• r-iterators

• r-lme4 >=1.1-10

• r-lmertest

• r-mass

• r-matrix

• r-pbkrtest >=0.4-4

• r-progress

• r-reshape2

• r-rlang

• r-scales

Required By

• bioconductor-muscat

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

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