The Machine Learning Approach 2nd Revised edition
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Bioinformatics by Pierre Baldi
Book DescriptionAn unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, which is the situation in molecular biology. The goal in machine learning is to extract useful information from a body of data by building good probabilistic models -- and to automate the process as much as possible. In this book Pierre Baldi and Sren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed both at biologists and biochemists who need to understand new data-driven algorithms and at those with a primary background in physics, mathematics, statistics, or computer science who need to know more about applications in molecular biology. This new second edition contains expanded coverage of probabilistic graphical models and of the applications of neural networks, as well as a new chapter on microarrays and gene expression. The entire text has been extensively revised.
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Book DetailsISBN: 9780262025065
(229mm x 178mm x 31mm)
Imprint: Bradford Books
Publisher: MIT Press Ltd
Publish Date: 10-Aug-2001
Country of Publication: United States
Books By Author Pierre Baldi
DNA Microarrays and Gene Expression, Paperback (March 2011)
First published in 2002, this is a concise, inter-disciplinary introduction to DNA microarray technology, which is revolutionizing biology and medicine.
Modeling the Internet and the Web, Hardback (April 2003)
Despite its haphazard growth, the Web hides powerful underlying regularities -- from the organization of its links to the patterns found in its use by millions of users. Probabilistic modelling allows many of these regularities to be predicted on the basis of theoretical models based on statistical methodology.
Shattered Self, Paperback (October 2002)» View all books by Pierre Baldi
An exploration of the far-reaching scientific and social changes made possible by advances in molecular biotechnology.
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Author Biography - Pierre Baldi
Pierre Baldi is Professor of Information and Computer Science and of Biological Chemistry (College of Medicine) and Director of the Institute for Genomics and Bioinformatics at the University of California, Irvine. Soren Brunak is Professor and Director of the Center for Biological Sequence Analysis at the Technical University of Denmark.
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