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
There are currently no reviews for this product. Be the first to review this product!
Your orders support book donation projects
I am not an easy shopper to please, but NHBS goes beyond my highest expectations in every way
Search and browse over 110,000 wildlife and science products
Multi-currency. Secure worldwide shipping
Wildlife, science and conservation since 1985