Identifying protein complexes directly from high-throughput TAP data with Markov random fields |
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| Authors: | Wasinee Rungsarityotin Roland Krause Arno Schödl Alexander Schliep |
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| Institution: | 1.Department of Computational Molecular Biology,Max Planck Institute for Molecular Genetics,Berlin,Germany;2.Department of Cellular Microbiology,Max Planck Institute for Infection Biology,Berlin,Germany;3.Think-cell software,Berlin,Germany |
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| Abstract: | Background Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of
high-throughput methods. Current algorithms to reconstruct the complexes typically rely on a two-step process. First, they
construct an interaction graph from the data, predominantly using heuristics, and subsequently cluster its vertices to identify
protein complexes. |
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