@article{Cho2007,
abstract = {The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be identified from the protein interaction networks derived from experimental data sets. However, these analyses are challenging because of the presence of unreliable interactions and the complex connectivity of the network. The integration of protein-protein interactions with the data from other sources can be leveraged for improving the effectiveness of functional module detection algorithms.},
author = {Cho, Young-Rae and Hwang, Woochang and Ramanathan, Murali and Zhang, Aidong},
doi = {10.1186/1471-2105-8-265},
issn = {1471-2105},
journal = {BMC Bioinformatics},
keywords = {Algorithms,Computer Simulation,Databases, Protein,Information Storage and Retrieval,Information Storage and Retrieval: methods,Models, Biological,Natural Language Processing,Protein Interaction Mapping,Protein Interaction Mapping: methods,Proteome,Proteome: metabolism,SML-LIB-BIBLIO,Semantics,Signal Transduction,Signal Transduction: physiology,Systems Integration,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
month = jan,
pages = {265},
pmid = {17650343},
title = {{Semantic integration to identify overlapping functional modules in protein interaction networks.}},
url = {http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=1971074\&tool=pmcentrez\&rendertype=abstract},
volume = {8},
year = {2007}
}