recipe bioconductor-buscorrect

High-throughput experimental data are accumulating exponentially in public databases. However, mining valid scientific discoveries from these abundant resources is hampered by technical artifacts and inherent biological heterogeneity. The former are usually termed “batch effects,” and the latter is often modelled by “subtypes.” The R package BUScorrect fits a Bayesian hierarchical model, the Batch-effects-correction-with-Unknown-Subtypes model (BUS), to correct batch effects in the presence of unknown subtypes. BUS is capable of (a) correcting batch effects explicitly, (b) grouping samples that share similar characteristics into subtypes, (c) identifying features that distinguish subtypes, and (d) enjoying a linear-order computation complexity.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/BUScorrect.html

License

GPL (>= 2)

Recipe

/bioconductor-buscorrect/meta.yaml

package bioconductor-buscorrect

(downloads) docker_bioconductor-buscorrect

Versions

1.0.0-0

Depends
Required By

Installation

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

conda install bioconductor-buscorrect

and update with:

conda update bioconductor-buscorrect

or use the docker container:

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

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