diffuStats: Diffusion scores on biological networks

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 details

AuthorSergio Picart-Armada and Alexandre Perera-Lluna
Bioconductor views GeneExpression GraphAndNetwork Network
MaintainerSergio Picart-Armada <[email protected]>
LicenseGPL-3
Version1.2.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("diffuStats")

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diffuStats documentation built on Nov. 1, 2018, 4:02 a.m.