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, characterisation and benchmarking.

Package details

AuthorSergio Picart-Armada [aut, cre], Alexandre Perera-Lluna [aut]
Bioconductor views GeneExpression Genetics GenomeWideAssociation GraphAndNetwork Metabolomics Network Normalization Proteomics Transcriptomics
MaintainerSergio Picart-Armada <sergi.picart@upc.edu>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


Try the diffuStats package in your browser

Any scripts or data that you put into this service are public.

diffuStats documentation built on Feb. 22, 2021, 10 a.m.