RT Journal
A1 Asthana, Saurabh
A1 King, Oliver D.
A1 Gibbons, Francis D.
A1 Roth, Frederick P.
T1 Predicting Protein Complex Membership Using Probabilistic Network Reliability
JF Genome Research 
JO Genome Research 
YR 2004 
FD June 01 
VO 14 
IS 6 
SP 1170 
OP 1175 
DO 10.1101/gr.2203804 
UL http://genome.cshlp.org/content/14/6/1170.abstract 
AB 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.