A Multi-Objective Genetic Algorithm to Find Active Modules in Multiplex Biological Networks - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2020

A Multi-Objective Genetic Algorithm to Find Active Modules in Multiplex Biological Networks

Efrén Mezura-Montes
Matthieu Vignes
  • Fonction : Auteur
Frédérique Magdinier
Laurent Tichit
Anaïs Baudot

Résumé

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 networks are composed of different layers of physical and functional relationships between genes and proteins. Each layer is associated to its own meaning, topology, and biases; the multiplex framework allows exploiting this diversity of biological networks. We applied MOGAMUN to identify cellular processes perturbed in Facio-Scapulo-Humeral muscular Dystrophy, by integrating RNA-seq expression data with a multiplex biological network. We identified different active modules of interest, thereby providing new angles for investigating the pathomechanisms of this disease. Availability MOGAMUN is available at https://github.com/elvanov/MOGAMUN. Contact elva.novoa{at}inserm.fr, anais.baudot{at}univ-amu.fr
Fichier principal
Vignette du fichier
2020.05.25.114215v1.full.pdf (717.44 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02997031 , version 1 (09-11-2020)

Identifiants

Citer

Elva-María Novoa-Del-Toro, Efrén Mezura-Montes, Matthieu Vignes, Frédérique Magdinier, Laurent Tichit, et al.. A Multi-Objective Genetic Algorithm to Find Active Modules in Multiplex Biological Networks. 2020. ⟨hal-02997031⟩

Relations

Collections

UNIV-AMU MMG
112 Consultations
85 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More