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Bioinformatics, Second Edition [推广有奖]

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  1. Bioinformatics, Second Edition
  2. The Machine Learning Approach
  3. By Pierre Baldi and Søren Brunak
  4. Overview
  5. An 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.

  6. In this book Pierre Baldi and Søren 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.

  7. 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.

  8. About the Authors
  9. 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.

  10. Søren Brunak is Professor and Director of the Center for Biological Sequence Analysis at the Technical University of Denmark.

  11. Reviews
  12. “This is a very good book, written with a high level of erudition and insight.”—Gustavo A. Stolovitzky, Physics Today
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关键词:Informatics informat informa Edition inform management prediction generated determine structure

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yueyar 发表于 2016-8-19 21:55:25 |只看作者 |坛友微信交流群
看看了解下,谢谢!

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bbslover 发表于 2016-8-20 00:06:17 |只看作者 |坛友微信交流群
thanks for sharing

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CRRAO 发表于 2016-8-21 11:22:24 |只看作者 |坛友微信交流群
LOOK MIT THANK YOU

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xiexie1111 发表于 2016-8-23 02:48:00 |只看作者 |坛友微信交流群
would like to know and learn more, thanks for your sharing, xie xie

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