b2slab/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.

Getting started

Package details

Bioconductor views GeneExpression Genetics GenomeWideAssociation GraphAndNetwork Metabolomics Network Normalization Proteomics Transcriptomics
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
b2slab/diffuStats documentation built on Feb. 26, 2021, 2 p.m.