Kernel Methods in Computational Biology
(Sprache: Englisch)
A detailed overview of current research in kernel methods and their application to computational biology.
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Produktinformationen zu „Kernel Methods in Computational Biology “
A detailed overview of current research in kernel methods and their application to computational biology.
Autoren-Porträt
Bernhard Scholkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tubingen, Germany. He is coauthor of Learning with Kernels (2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by the MIT Press. Koji Tsuda is a Research Scientist at the Max Planck Institute and a Researcher at AIST Computational Biology Research Center, Tokyo. Jean-Philippe Vert is Researcher and Leader of the Bioinformatics Group at Ecole des Mines de Paris.
Bibliographische Angaben
- 2004, 416 Seiten, Maße: 20,9 x 26,2 cm, Gebunden, Englisch
- Herausgegeben: Bernhard Scholkopf, Koji Tsuda, Jean-Philippe Vert
- Verlag: MIT PR
- ISBN-10: 0262195097
- ISBN-13: 9780262195096
Sprache:
Englisch
Rezension zu „Kernel Methods in Computational Biology “
"This timely collection will be an asset to anyone working with microarray data, and those involved with computational biology more generally should be aware of it." --Jun Liu, Professor of Statistics, Harvard University "This unique collection admirably covers the topic of using kernel methods to study biological data, providing up-to-date treatment of work in the field." --Junhyong Kim, Department of Biology, University of Pennsylvania
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