MOCEA: a multi-objective clustering evolutionary algorithm for inferring protein-protein functional interactions

  • Authors:

  • Jose Juan Tapia;Edgar E. Vallejo;Enrique Morett

  • Affiliations:

  • Instituto Tecnológico y de Estudios Superiores de Monterrey. Campus Estado de México, Atizapán, Mexico;Instituto Tecnológico y de Estudios Superiores de Monterrey. Campus Estado de México, Atizapan, Mexico;Instituto de Biotecnologia UNAM, Cuernavaca, Mexico

  • Venue:
  • Proceedings of the 11th Annual conference on Genetic and evolutionary computation
  • Year:
  • 2009

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Abstract

This paper explores the capabilities of multi-objective genetic algorithms to cluster genomic data. We used multiple objective functions not only to further expand the clustering abilities of the algorithm, but also to give more biological significance to the results. Particularly, we grouped a large set of proteins described by a set collection of genomic attributes to infer functional interactions among them. We conducted various computational experiments that demonstrated the proficiency of the proposed method when compared to algorithms that rely on a single biological parameter.