Multi-Objective Optimization Algorithm to Discover Condition-Specific Modules in Multiple Networks.

摘要: The advances in biological technologies make it possible to generate data for multiple conditions simultaneously. Discovering the condition-specific modules networks has great merit understanding underlying molecular mechanisms of cells. available algorithms transform into a single objective optimization problem, which is criticized its low accuracy. To address this issue, multi-objective genetic algorithm (MOGA-CSM) developed discover modules. By using artificial networks, we demonstrate that MOGA-CSM outperforms state-of-the-art methods terms Furthermore, discovers stage-specific breast cancer based on Cancer Genome Atlas (TCGA) data, and these serve as biomarkers predict stages cancer. proposed model provide an effective way analyze networks.