Cargando…
Collective prediction of protein functions from protein-protein interaction networks
BACKGROUND: Automated assignment of functions to unknown proteins is one of the most important task in computational biology. The development of experimental methods for genome scale analysis of molecular interaction networks offers new ways to infer protein function from protein-protein interaction...
Autores principales: | Wu, Qingyao, Ye, Yunming, Ng, Michael K, Ho, Shen-Shyang, Shi, Ruichao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4015526/ https://www.ncbi.nlm.nih.gov/pubmed/24564855 http://dx.doi.org/10.1186/1471-2105-15-S2-S9 |
Ejemplares similares
-
Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization
por: Wu, Qingyao, et al.
Publicado: (2015) -
Semi-supervised multi-label collective classification ensemble for functional genomics
por: Wu, Qingyao, et al.
Publicado: (2014) -
Integrating protein-protein interactions and text mining for protein function prediction
por: Jaeger, Samira, et al.
Publicado: (2008) -
Predicting multiplex subcellular localization of proteins using protein-protein interaction network: a comparative study
por: Jiang, Jonathan Q, et al.
Publicado: (2012) -
Protein complex detection with semi-supervised learning in protein interaction networks
por: Shi, Lei, et al.
Publicado: (2011)