Allows detection of functional modules. ACC-FMD is an algorithm adopting an ant colony clustering model to mine functional modules in protein-protein interaction (PPI) networks. First, it calculates the clustering coefficient of each node and selects some proteins with the higher clustering coefficients as ant seed nodes. And next, it develops the picking and dropping probability models to induct the ant colony clustering.
College of Computer Science and Technology, Beijing University of Technology, Beijing Municipal Key Laboratory of Multimedia and Intelligent, Software Technology, Beijing, China; Department of Computer Science and Engineering, The State University of New York at Buffalo, Buffalo, NY, USA;
ACC-FMD funding source(s)
Supported by National ‘973’ Key Basic Research Program of China (2014CB744601), NSFC Research Program (61375059, 61332016), Specialised Research Fund for the Doctoral Program of Higher Education (20121103110031), and the Beijing Municipal Education Research Plan key project (Beijing Municipal Fund Class B) (KZ201410005004).