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Joint clustering of protein interaction networks through Markov random walk
Biological networks obtained by high-throughput profiling or human curation are typically noisy. For functional module identification, single network clustering algorithms may not yield accurate and robust results. In order to borrow information across multiple sources to alleviate such problems due...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080334/ https://www.ncbi.nlm.nih.gov/pubmed/24565376 http://dx.doi.org/10.1186/1752-0509-8-S1-S9 |