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 |
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Author | Sergio Picart-Armada [aut, cre], Alexandre Perera-Lluna [aut] |
Bioconductor views | GeneExpression Genetics GenomeWideAssociation GraphAndNetwork Metabolomics Network Normalization Proteomics Transcriptomics |
Maintainer | Sergio Picart-Armada <sergi.picart@upc.edu> |
License | GPL-3 |
Version | 1.10.2 |
Package repository | View on Bioconductor |
Installation |
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