SMETANA: Accurate and Scalable Algorithm for Probabilistic Alignment of Large-Scale Biological Networks

In this paper we introduce an efficient algorithm for alignment of multiple large-scale biological networks. In this scheme, we first compute a probabilistic similarity measure between nodes that belong to different networks using a semi-Markov random walk model. The estimated probabilities are furt...

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Detalles Bibliográficos
Autores principales: Sahraeian, Sayed Mohammad Ebrahim, Yoon, Byung-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710069/
https://www.ncbi.nlm.nih.gov/pubmed/23874484
http://dx.doi.org/10.1371/journal.pone.0067995

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710069/
https://www.ncbi.nlm.nih.gov/pubmed/23874484
http://dx.doi.org/10.1371/journal.pone.0067995

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