[ACM Press the 11th Annual conference - Montreal, Québec, Canada (2009.07.08-2009.07.12)] Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09 - MOCEA

✍ Scribed by Tapia, Jose Juan; Vallejo, Edgar E.; Morett, Enrique

• Book ID: 126650285
• Publisher: ACM Press
• Year: 2009
• Weight: 264 KB
• Category: Article
• ISBN: 1605583251
• DOI: 10.1145/1569901.1570164

✦ Synopsis

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.