A multi-objective genetic algorithm to find active modules in multiplex biological networks.

ABSTRACT: The identification of subnetworks of interest-or active modules-by integrating biological networks with molecular profiles is a key resource to inform on the processes perturbed in different cellular conditions. We here propose MOGAMUN, a Multi-Objective Genetic Algorithm to identify active modules in MUltiplex biological Networks. MOGAMUN optimizes both the density of interactions and the scores of the nodes (e.g., their differential expression). We compare MOGAMUN with state-of-the-art methods, representative of different algorithms dedicated to the identification of active modules in single networks. MOGAMUN identifies dense and high-scoring modules that are also easier to interpret. In addition, to our knowledge, MOGAMUN is the first method able to use multiplex networks. Multiplex net

SUBMITTER: Novoa-Del-Toro EM 

PROVIDER: S-EPMC8452006 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature