Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization

BACKGROUND: Predicting functional properties of proteins in protein-protein interaction (PPI) networks presents a challenging problem and has important implication in computational biology. Collective classification (CC) that utilizes both attribute features and relational information to jointly cla...

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Detalles Bibliográficos
Autores principales: Wu, Qingyao, Wang, Zhenyu, Li, Chunshan, Ye, Yunming, Li, Yueping, Sun, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331684/
https://www.ncbi.nlm.nih.gov/pubmed/25708164
http://dx.doi.org/10.1186/1752-0509-9-S1-S9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331684/
https://www.ncbi.nlm.nih.gov/pubmed/25708164
http://dx.doi.org/10.1186/1752-0509-9-S1-S9

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