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HOODS: finding context-specific neighborhoods of proteins, chemicals and diseases
Clustering algorithms are often used to find groups relevant in a specific context; however, they are not informed about this context. We present a simple algorithm, HOODS, which identifies context-specific neighborhoods of entities from a similarity matrix and a list of entities specifying the cont...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493695/ https://www.ncbi.nlm.nih.gov/pubmed/26157625 http://dx.doi.org/10.7717/peerj.1057 |