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Bioinformatics : the machine learning approach

Author: Pierre Baldi; Søren Brunak
Publisher: Cambridge, Mass. : MIT Press, ©2001.
Series: Adaptive computation and machine learning.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Database:WorldCat
Summary:

A guide to machine learning approaches and their application to the analysis of biological data.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Pierre Baldi; Søren Brunak
ISBN: 026202506X 9780262025065
OCLC Number: 45951728
Notes: "A Bradford book."
Description: xxi, 452 pages : illustrations ; 24 cm.
Contents: Introduction --
Machine-learning foundations : the probabilistic framework --
Probabilistic modeling and inference : examples --
Machine learning algorithms --
Neural networks : the theory --
Neural networks : applications --
Hidden Markov models: the theory --
Hidden Markov models: applications --
Probabilistic graphical models in bioinformatics --
Probabilistic models of evolution : phylogenitc trees --
Stochastic grammars and linguistics --
Microarrays and gene expression --
Internet resources and public databases.
Series Title: Adaptive computation and machine learning.
Responsibility: Pierre Baldi, Søren Brunak.

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This is a very good book, written with a high level of erudition and insight. -- Gustavo A. Stolovitzky Physics Today

 
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Primary Entity

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