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Kernel Methods in Bioinformatics
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.
@inbook{Borgwardt2011_2, title = {Kernel Methods in Bioinformatics }, booktitle = {Handbook of Statistical Bioinformatics}, 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. }, pages = {317-334}, series = {Springer Handbooks of Computational Statistics ; 3}, editors = {Lu, H.H.-S., Sch{\"o}lkopf, B. and Zhao, H.}, publisher = {Springer}, address = {Berlin, Germany}, year = {2011}, slug = {borgwardt2011_2}, author = {Borgwardt, KM.} }