recipe bioconductor-diffustats

Diffusion scores on biological networks

Homepage

https://bioconductor.org/packages/3.11/bioc/html/diffuStats.html

License

GPL-3

Recipe

/bioconductor-diffustats/meta.yaml

Links

biotools: diffuStats, doi: 10.1093/bioinformatics/btx632

Label propagation approaches are a widely used procedure in computational biology for giving context to molecular entities using network data. Node labels, which can derive from gene expression, genome-wide association studies, protein domains or metabolomics profiling, are propagated to their neighbours in the network, effectively smoothing the scores through prior annotated knowledge and prioritising novel candidates. The R package diffuStats contains a collection of diffusion kernels and scoring approaches that facilitates their computation and benchmarking.

package bioconductor-diffustats

(downloads) docker_bioconductor-diffustats

Versions

1.8.0-01.6.0-01.4.0-11.4.0-01.2.0-00.104.0-00.102.0-0

Depends
Required By

Installation

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

conda install bioconductor-diffustats

and update with:

conda update bioconductor-diffustats

or use the docker container:

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

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