Edited By: Bernard Schölkopf, Koji Tsuda and Jean-Philippe Vert
416 pages, 79 illus
Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems.
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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