recipe bioconductor-quantro

A test for when to use quantile normalization

Homepage

https://bioconductor.org/packages/3.14/bioc/html/quantro.html

License

GPL (>=3)

Recipe

/bioconductor-quantro/meta.yaml

Links

biotools: quantro

A data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups.

package bioconductor-quantro

Versions

1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.16.0-1,  1.16.0-0, 

1.28.0-0,  1.26.0-0,  1.24.0-1,  1.24.0-0,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-minfi >=1.40.0,<1.41.0

• r-base >=4.1,<4.2.0a0

• r-doparallel

• r-foreach

• r-ggplot2

• r-iterators

• r-rcolorbrewer

Required By

• bioconductor-yarn

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-quantro

and update with:

conda update bioconductor-quantro

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-quantro:<tag>

(see bioconductor-quantro/tags for valid values for <tag>)

Download stats

Link to this page

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