Serves functional module detection in PPI networks. BFO-FMD works in three stages: solution initialization, solution optimization, and post-processing. First, it constructs each bacterial individual solution using a random-walk behavior. Next, it optimizes iteratively each individual solution using four biological mechanisms to look for superior solutions with higher modularity scores. And finally, it carries out two post-processing steps to further refine the preliminary module partition detected.
Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Faculty of Information Technology, Beijing University of Technology, Beijing, China; Department of Computer Science and Engineering, State University of New York at Buffalo, Buffalo, NY, USA
BFO-FMD funding source(s)
Supported by the NSFC Research Program (61672065, 61375059) and the Beijing Municipal Education Research Plan Key Project (Beijing Municipal Fund Class B) (KZ201410005004).