Protein-protein functional association prediction using genetic programming

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dc.contributor.author García Jiménez, Beatriz
dc.contributor.author Aler Mur, Ricardo
dc.contributor.author Ledezma Espino, Agapito Ismael
dc.contributor.author Sanchis de Miguel, María Araceli
dc.date.accessioned 2010-12-07T13:44:37Z
dc.date.available 2010-12-07T13:44:37Z
dc.date.issued 2008
dc.identifier.bibliographicCitation GECCO '08 : Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, pp.347-348.
dc.identifier.isbn 978-1-60558-130-9
dc.identifier.uri http://hdl.handle.net/10016/9781
dc.description Genetic and Evolutionary Computation Conference, GECCO-08. July 12-16, 2008, Atlanta, Georgia, USA.
dc.description.abstract Determining if a group of proteins are functionally associated among themselves is an open problem in molecular biology. Within our long term goal of applying Genetic Programming (GP) to this domain, this paper evaluates the feasibility of GP to predict if a given pair of proteins interacts. GP has been chosen because of its potential flexibility in many aspects, such as the definition of operations. In this paper, the if-unknown operation is defined, which semantically is the most appropriate in this domain for handling missing values. We have also used the Tarpeian bloat control method to decrease the computational time and the solution size. Our results show that GP is feasible for this domain and that the Tarpeian method can obtain large improvements in search efficiency and interpretability of solutions.
dc.description.sponsorship Data used in these experiments has been obtained in support of the Structural Computational Biology Group in Spanish National Cancer Research Centre (CNIO). This work has been supported by CICYT (2004-07) TRA2004-07441-C03-02/IA project.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Association for Computing Machinery (ACM)
dc.rights © Copyright is held by the author/owner(s).
dc.subject.other Algorithms
dc.subject.other Measurement
dc.subject.other Performance
dc.subject.other Experimentation
dc.title Protein-protein functional association prediction using genetic programming
dc.type bookPart
dc.type conferenceObject
dc.relation.publisherversion http://dx.doi.org/10.1145/1389095.1389156
dc.subject.eciencia Informática
dc.identifier.doi 10.1145/1389095.1389156
dc.rights.accessRights openAccess
dc.relation.eventdate July 12-16, 2008
dc.relation.eventplace Atlanta (Georgia, USA)
dc.relation.eventtitle Genetic and Evolutionary Computation Conference, GECCO-08
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 347
dc.identifier.publicationlastpage 348
dc.identifier.publicationtitle GECCO '08 : Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation
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