Identifying protein complexes directly from high-throughput TAP data with Markov random fields-3

Abstract

<p><b>Copyright information:</b></p><p>Taken from "Identifying protein complexes directly from high-throughput TAP data with Markov random fields"</p><p>http://www.biomedcentral.com/1471-2105/8/482</p><p>BMC Bioinformatics 2007;8():482-482.</p><p>Published online 19 Dec 2007</p><p>PMCID:PMC2222659.</p><p></p>ive rate is set to 0.005 and the false negative rates is 0.2 or 0.5. With = 0.2 (2(a), 2(b)), MRF can recover the true clustering with the minimum negative log-likelihood which is taken on for 11 clusters. Notice that any more clusters do not reduce the cost any further; additional clusters simply remain empty. For = 0.5, the accuracy is worse and needs more empty clusters to reach convergence. In 2(c) and 2(d) the convergence rate fluctuates more