IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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Finding a maximal biclique in a graph is an NPC problem. We developed a new, efficient method to search maximal quasi-bicliques from protein interaction network. At first, we divided the protein- protein interaction network into vertex's Distance-2- Subgraphs. Next, combining top down and branch and bound methods, we sought quasi-biclique from every vertex's Distance-2-Subgraph. At last, we merged the redundant ones in the quasi-bicliques. We successfully applied our method on the Saccharomyces cerevisiae dataset and obtained 2754 distinct quasi-bicliques.