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Inferring functional communities from partially observed biological networks exploiting geometric topology and side information
Cellular biological networks represent the molecular interactions that shape function of living cells. Uncovering the organization of a biological network requires efficient and accurate algorithms to determine the components, termed communities, underlying specific processes. Detecting functional c...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237089/ https://www.ncbi.nlm.nih.gov/pubmed/35760826 http://dx.doi.org/10.1038/s41598-022-14631-x |