Package: diffuStats Type: Package Title: Diffusion scores on biological networks Version: 1.33.0 Authors@R: c( person( "Sergio", "Picart-Armada", role = c("aut", "cre"), email = "sergi.picart@upc.edu"), person( "Alexandre", "Perera-Lluna", role = c("aut"), email = "alexandre.perera@upc.edu")) Description: 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. Depends: R (>= 3.4) Imports: grDevices, stats, methods, Matrix, MASS, checkmate, expm, igraph, Rcpp, RcppArmadillo, RcppParallel, plyr, precrec License: GPL-3 LazyData: true Encoding: UTF-8 RoxygenNote: 7.1.1 Suggests: testthat, knitr, rmarkdown, ggplot2, ggsci, igraphdata, BiocStyle, reshape2, utils LinkingTo: Rcpp, RcppArmadillo, RcppParallel SystemRequirements: GNU make VignetteBuilder: knitr biocViews: Network, GeneExpression, GraphAndNetwork, Metabolomics, Transcriptomics, Proteomics, Genetics, GenomeWideAssociation, Normalization Config/pak/sysreqs: libglpk-dev make libxml2-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:46:01 UTC RemoteUrl: https://github.com/bioc/diffuStats RemoteRef: HEAD RemoteSha: 58da991e2525e0ccdb9a166f67ecf1a4aeb752ef NeedsCompilation: yes Packaged: 2026-06-22 11:45:21 UTC; root Author: Sergio Picart-Armada [aut, cre], Alexandre Perera-Lluna [aut] Maintainer: Sergio Picart-Armada