| Literature DB >> 29029016 |
Sergio Picart-Armada1,2, Wesley K Thompson3,4, Alfonso Buil3, Alexandre Perera-Lluna1,2.
Abstract
Summary: Label propagation and diffusion over biological networks are a common mathematical formalism in computational biology for giving context to molecular entities and prioritizing novel candidates in the area of study. There are several choices in conceiving the diffusion process-involving the graph kernel, the score definitions and the presence of a posterior statistical normalization-which have an impact on the results. This manuscript describes diffuStats, an R package that provides a collection of graph kernels and diffusion scores, as well as a parallel permutation analysis for the normalized scores, that eases the computation of the scores and their benchmarking for an optimal choice. Availability and implementation: The R package diffuStats is publicly available in Bioconductor, https://bioconductor.org, under the GPL-3 license. Contact: sergi.picart@upc.edu. Supplementary information: Supplementary data are available at Bioinformatics online.Mesh:
Year: 2018 PMID: 29029016 PMCID: PMC5860365 DOI: 10.1093/bioinformatics/btx632
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937