Cargando…
CPredictor3.0: detecting protein complexes from PPI networks with expression data and functional annotations
BACKGROUND: Effectively predicting protein complexes not only helps to understand the structures and functions of proteins and their complexes, but also is useful for diagnosing disease and developing new drugs. Up to now, many methods have been developed to detect complexes by mining dense subgraph...
Autores principales: | Xu, Ying, Zhou, Jiaogen, Zhou, Shuigeng, Guan, Jihong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5763309/ https://www.ncbi.nlm.nih.gov/pubmed/29322927 http://dx.doi.org/10.1186/s12918-017-0504-3 |
Ejemplares similares
-
Protein Function Prediction Based on PPI Networks: Network Reconstruction vs Edge Enrichment
por: Zhou, Jiaogen, et al.
Publicado: (2021) -
An effective approach to detecting both small and large complexes from protein-protein interaction networks
por: Xu, Bin, et al.
Publicado: (2017) -
Fusing multiple protein-protein similarity networks to effectively predict lncRNA-protein interactions
por: Zheng, Xiaoxiong, et al.
Publicado: (2017) -
Integrating PPI datasets with the PPI data from biomedical literature for protein complex detection
por: Yang, Zhi Hao, et al.
Publicado: (2014) -
PCGAN: a generative approach for protein complex identification from protein interaction networks
por: Pan, Yuliang, et al.
Publicado: (2023)