Editors:
- Fast track conference proceedings
- Unique visibility
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7246)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): EvoBIO: European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology (Part of EvoStar)
Conference proceedings info: EvoBIO 2012.
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Table of contents (23 papers)
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Front Matter
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Oral Contributions
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Poster Contributions
Other Volumes
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
About this book
The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.
Editors and Affiliations
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Department of Animal Production Epidemiology and Ecology, University of Torino, Grugliasco, Italy
Mario Giacobini
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Universidade Nove de Lisboa, ISEGI, 1070-312 Lisboa, Portugal and University of Milano-Bicocca, D.I.S.Co., Viale Sarca 336, 20126 Milan, Italy
Leonardo Vanneschi
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Center for Human Genetics Research, Department of Biomedical Informatics, Vanderbilt University, Nashville, USA
William S. Bush
Bibliographic Information
Book Title: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Book Subtitle: 10th European Conference, EvoBIO 2012, Málaga, Spain, April 11-13, 2012, Proceedings
Editors: Mario Giacobini, Leonardo Vanneschi, William S. Bush
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-29066-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Softcover ISBN: 978-3-642-29065-7Published: 28 March 2012
eBook ISBN: 978-3-642-29066-4Published: 23 March 2012
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 255
Number of Illustrations: 76 b/w illustrations
Topics: Computational Biology/Bioinformatics, Algorithm Analysis and Problem Complexity, Database Management, Artificial Intelligence, Computation by Abstract Devices, Data Structures