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

作者：

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.

摘要

•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.

论文关键词：Driver pathway,Cancer omics data,PPI network,Model,Genetic algorithm,Particle swarm optimization

论文评审过程：Received 3 February 2022, Revised 15 August 2022, Accepted 31 August 2022, Available online 5 September 2022, Version of Record 15 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118753