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putation, Machine Learning and Data Mining in Bioinformatics, LNCS 6623, Springer, 2011.pdf

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putation, Machine Learning and Data Mining in Bioinformatics, LNCS 6623, Springer, 2011.pdf

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putation, Machine Learning and Data Mining in Bioinformatics, LNCS 6623, Springer, 2011.pdf

文档介绍

文档介绍:Lecture Notes puter Science 6623
Commenced Publication in 1973
Founding and Former Series Editors:
Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board
David Hutchison
Lancaster University, UK
Takeo Kanade
Carnegie Mellon University, Pittsburgh, PA, USA
Josef Kittler
University of Surrey, Guildford, UK
Jon M. Kleinberg
Cornell University, Ithaca, NY, USA
Alfred Kobsa
University of California, Irvine, CA, USA
Friedemann Mattern
ETH Zurich, Switzerland
John C. Mitchell
Stanford University, CA, USA
Moni Naor
Weizmann Institute of Science, Rehovot, Israel
Oscar Nierstrasz
University of Bern, Switzerland
C. Pandu Rangan
Indian Institute of Technology, Madras, India
Bernhard Steffen
TU Dortmund University, Germany
Madhu Sudan
Microsoft Research, Cambridge, MA, USA
Demetri Terzopoulos
University of California, Los Angeles, CA, USA
Doug Tygar
University of California, Berkeley, CA, USA
Gerhard Weikum
Max Planck Institute for Informatics, Saarbruecken, Germany
Clara Pizzuti Marylyn D. Ritchie
Mario Giacobini (Eds.)
putation,
Machine Learning and
Data Mining in Bioinformatics
9th European Conference, EvoBIO 2011
Torino, Italy, April 27-29, 2011
Proceedings
13
Volume Editors
Clara Pizzuti
Institute for High-puting working (ICAR)
Italian National Research Council (CNR)
Via P. i 41C, 87036 Rende (CS), Italy
E-mail: ******@
Marylyn D. Ritchie
Vanderbilt University
Center for Human ics Research
519 Light Hall, Nashville, TN 37232, USA
E-mail: ******@
Mario Giacobini
University of Torino
Department of Animal Production Epidemiology and Ecology
Via Leonardo da Vinci 44, 10095 Grugliasco (TO), Italy
E-mail: mario.******@
Cover illustration:
"Globosphere" by Miguel Nicolau and Dan Costelloe (2010),
University of Dublin, Ireland
ISSN 0302-9743 e-ISSN 1611-3349
ISBN 978-3-642-20388-6 e-ISBN 978-3-642-20389-3
DOI -3-642-20389-3
Springer Heidelbe