recipe bioconductor-iterativebma

The Iterative Bayesian Model Averaging (BMA) algorithm

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/iterativeBMA.html

License:

GPL (>= 2)

Recipe:

/bioconductor-iterativebma/meta.yaml

Links:

biotools: iterativebma, doi: 10.1186/gb-2008-9-7-r118

The iterative Bayesian Model Averaging (BMA) algorithm is a variable selection and classification algorithm with an application of classifying 2-class microarray samples, as described in Yeung, Bumgarner and Raftery (Bioinformatics 2005, 21: 2394-2402).

package bioconductor-iterativebma

(downloads) docker_bioconductor-iterativebma

Versions:
1.56.0-01.52.0-01.50.0-01.48.0-11.48.0-01.46.0-01.44.0-01.42.0-11.40.0-0

1.56.0-01.52.0-01.50.0-01.48.0-11.48.0-01.46.0-01.44.0-01.42.0-11.40.0-01.38.0-01.36.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-iterativebma

and update with:

conda update bioconductor-iterativebma

or use the docker container:

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

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

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