Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Vanneschi, Leonardo. (Editor), Bush, William S. (Editor), Giacobini, Mario. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Lecture Notes in Computer Science, 7833
• Subjects: Computer science.; Computer software.; Data mining.; Bioinformatics.; Computer Science.; Computational Biology/Bioinformatics.; Data Mining and Knowledge Discovery.; Algorithm Analysis and Problem Complexity.; Computation by Abstract Devices.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-37189-9
• Physical Description: XII, 217 p. 64 illus. online resource.
• ISBN: 9783642371899
• ISSN: 0302-9743

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.