diffuStats: an R package to compute diffusion-based scores on biological networks
10.1093/bioinformatics/btx632
Inclou dades d'ús des de 2022
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hdl:2117/114063
Tipus de documentArticle
Data publicació2018-02-01
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Abstract
Label propagation and diffusion over biological networks are a common mathematical formalism in computational biology for giving context to molecular entities and prioritising 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 normalisation- 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 normalised scores, that eases the computation of the scores and their benchmarking for an optimal choice.
Descripció
This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record Sergio Picart-Armada, Wesley K Thompson, Alfonso Buil, Alexandre Perera-Lluna; diffuStats: an R package to compute diffusion-based scores on biological networks, Bioinformatics, Volume 34, Issue 3, 1 February 2018, Pages 533–534 is available online at: https://doi.org/10.1093/bioinformatics/btx632.
CitacióPicart, S., Thompson, W., Buil, A., Perera, A. diffuStats: an R package to compute diffusion-based scores on biological networks. "Bioinformatics", 1 Febrer 2018, vol. 34, núm. 3, p. 533-534.
ISSN1460-2059
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