Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Bioinformatics, Second Edition: The Machine Learning Approach

Bioinformatics, Second Edition: The Machine Learning Approach

Baldi, Pierre
Brunak, Søren

Hardcover

Series: Adaptive Computation and Machine Learning

ChemistryGeneral ComputersGeneral Science

Currently unavailable to order

ISBN10: 026202506X
ISBN13: 9780262025065
Publisher: Mit Pr
Published: Jul 20 2001
Pages: 476
Weight: 2.38
Height: 1.28 Width: 7.33 Depth: 9.34
Language: English
A guide to machine learning approaches and their application to the analysis of biological data.

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.

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