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  Kernel Methods in Bioinformatics

Borgwardt, K. (2011). Kernel Methods in Bioinformatics. In Handbook of Statistical Bioinformatics (pp. 317-334). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BD02-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-BD03-5
Genre: Book Chapter

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 Creators:
Borgwardt, KM1, Author           
Lu, Editor
H.H.-S., Editor
Schölkopf, B., Editor
Zhao, H., Editor
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Kernel methods have now witnessed more than a decade of increasing popularity in the bioinformatics community. In this article, we will compactly review this development, examining the areas in which kernel methods have contributed to computational biology and describing the reasons for their success.

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 Dates: 2011
 Publication Status: Issued
 Pages: -
 Publishing info: -
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 Rev. Type: -
 Identifiers: ISBN: 978-3-642-16345-6
URI: http://www.springerlink.com/content/g23h668p66024317/fulltext.pdf
DOI: 10.1007/978-3-642-16345-6_15
BibTex Citekey: Borgwardt2011_2
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Title: Handbook of Statistical Bioinformatics
Source Genre: Book
 Creator(s):
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 317 - 334 Identifier: -