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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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Autori principali: Sahraeian, Sayed Mohammad Ebrahim, Yoon, Byung-Jun
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2013
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3710069/
https://ncbi.nlm.nih.gov/pubmed/23874484
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0067995
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