A model and cooperative co-evolution algorithm for identifying driver pathways based on the integrated data and PPI network

Kai Zhu, Jingli Wu, Gaoshi Li, Xiaorong Chen, Michael Yourong Luo

Abstract: Highlights•A non-binary mutation matrix is constructed without artificial adjustable parameters.•The model incorporates gene association and balances coverage and mutual exclusivity.•A PSO algorithm suitable for solving combinatorial problems is presented.•A co-operative co-evolution algorithm is put forward for solving the presented model.•The performance is compared among the proposed method and seven state of the art ones.