diffuStats
Diffusion scores on biological networks
Bioconductor version: 3.23 · Package version: 1.32.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("diffuStats") Details
| Maintainer | Sergio Picart-Armada <sergi.picart@upc.edu> |
| Author | Sergio Picart-Armada [aut, cre], Alexandre Perera-Lluna [aut] |
| License | GPL-3 |
| System Requirements | GNU make |
| Downloads rank | 291 |
| Source branch | RELEASE_3_23 |
| biocViews | GeneExpression, Genetics, GenomeWideAssociation, GraphAndNetwork, Metabolomics, Network, Normalization, Proteomics, Software, Transcriptomics |
Documentation
Download
Dependencies
Depends: R (>= 3.4)
Imports: grDevices, stats, methods, Matrix, MASS, checkmate, expm, igraph, Rcpp, RcppArmadillo, RcppParallel, plyr, precrec
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat, knitr, rmarkdown, ggplot2, ggsci, igraphdata, BiocStyle, reshape2, utils