b2slab/diffuStats: Diffusion scores on biological networks
Version 0.99.12

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.

Getting started

Package details

AuthorSergio Picart-Armada and Alexandre Perera-Lluna
Bioconductor views GeneExpression GraphAndNetwork Network
MaintainerSergio Picart-Armada <[email protected]>
LicenseGPL-3
Version0.99.12
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("b2slab/diffuStats")
b2slab/diffuStats documentation built on July 14, 2017, 11:50 p.m.