@article{Asthana01062004,
author = {Asthana, Saurabh and King, Oliver D. and Gibbons, Francis D. and Roth, Frederick P.}, 
title = {Predicting Protein Complex Membership Using Probabilistic Network Reliability},
volume = {14}, 
number = {6}, 
pages = {1170-1175}, 
year = {2004}, 
doi = {10.1101/gr.2203804}, 
abstract ={Evidence for specific protein–protein interactions is increasingly available from both small- and large-scale studies, and can be viewed as a network. It has previously been noted that errors are frequent among large-scale studies, and that error frequency depends on the large-scale method used. Despite knowledge of the error-prone nature of interaction evidence, edges (connections) in this network are typically viewed as either present or absent. However, use of a probabilistic network that considers quantity and quality of supporting evidence should improve inference derived from protein networks. Here we demonstrate inference of membership in a partially known protein complex by using a probabilistic network model and an algorithm previously used to evaluate reliability in communication networks.}, 
URL = {http://genome.cshlp.org/content/14/6/1170.abstract}, 
eprint = {http://genome.cshlp.org/content/14/6/1170.full.pdf+html}, 
journal = {Genome Research} 
}