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Kernel Methods in Computational Biology (Computational Molecular Biology)
from: The MIT Press
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Binding: Hardcover
Dewey Decimal Number: 570.285
EAN: 9780262195096
ISBN: 0262195097
Label: The MIT Press
Manufacturer: The MIT Press
Number Of Items: 1
Number Of Pages: 410
Publication Date: August 01, 2004
Publisher: The MIT Press
Studio: The MIT Press
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Editorial Review:
Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DNA or amino acid sequences), and the need to combine heterogeneous sources of information. This book provides a detailed overview of current research in kernel methods and their applications to computational biology.
Following three introductory chaptersâan introduction to molecular and computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biologyâthe book is divided into three sections that reflect three general trends in current research. The first part presents different ideas for the design of kernel functions specifically adapted to various biological data; the second part covers different approaches to learning from heterogeneous data; and the third part offers examples of successful applications of support vector machine methods.
Customer Reviews
Average Rating: 
Rating: - Kernal Methods in Biology
Good Book and useful for research and as a course work
Rating: - diverse examples
The book is recognition of the fact that computational biology is only now starting to emerge as an important scientific discipline in its own right. The book addresses 2 audiences whose research intersects. One is those doing other computational work and who perhaps already use these kernel methods, and who are unaware of issues in biology that need to be studied. While the other is those already in computational biology, but who have never used kernel methods. Essentially, the early chapters address ... Read More
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