Kernel Methods in Bioinformatics

Borgwardt, K

doi:10.1007/978-3-642-16345-6_15

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Kernel Methods in Bioinformatics

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Borgwardt, K
Max Planck Institute for Developmental Biology, Max Planck Society;
Former Research Group Machines Learning Theory, Max Planck Institute for Intelligent Systems, Max Planck Society;

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https://link.springer.com/content/pdf/10.1007%2F978-3-642-16345-6_15.pdf
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Citation

Borgwardt, K. (2011). Kernel Methods in Bioinformatics. In H.-S. Lu, B. Schölkopf, & H. Zhao (Eds.), Handbook of Statistical Bioinformatics (pp. 317-334). Berlin, Germany: Springer.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-BD02-7

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.