bioconductor-diffustats

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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.

Home http://bioconductor.org/packages/3.6/bioc/html/diffuStats.html
Versions 0.102.0
License GPL-3
Recipe https://github.com/bioconda/bioconda-recipes/tree/master/recipes/bioconductor-diffustats

Installation

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

conda install bioconductor-diffustats

and update with:

conda update bioconductor-diffustats

docker

A Docker container is available at https://quay.io/repository/biocontainers/bioconductor-diffustats.