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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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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2013
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| On-line přístup: | 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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