Bioinformatics the machine learning approach

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 appl...

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Hlavní autori:	Baldi, Pierre, Brunak, Søren
Médium:	E-kniha Kniha
Jazyk:	English
Vydavateľské údaje:	Cambridge, Massachusetts The MIT Press 2001 MIT Press A Bradford Book
Vydanie:	2nd edition.
Edícia:	Adaptive computation and machine learning
Predmet:	Bioinformatics Computer simulation Machine learning Markov processes Mathematical models Molecular biology Molecular biology > Computer simulation Molecular biology > Mathematical models neural networks (computer science)
ISBN:	9780262255707, 0262255707, 026202506X, 9780262025065
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Obsah:

Intro -- Contents -- Series Foreword -- Preface -- 1 Introduction -- 2 Machine-Learning Foundations: The Probabilistic Framework -- 3 Probabilistic Modeling and Inference: Examples -- 4 Machine Learning Algorithms -- 5 Neural Networks: The Theory -- 6 Neural Networks: Applications -- 7 Hidden Markov Models: The Theory -- 8 Hidden Markov Models: Applications -- 9 Probabilistic Graphical Models in Bioinformatics -- 10 Probabilistic Models of Evolution: Phylogenetic Trees -- 11 Stochastic Grammars and Linguistics -- 12 Microarrays and Gene Expression -- 13 Internet Resources and Public Databases -- A Statistics -- B Information Theory, Entropy, and Relative Entropy -- C Probabilistic Graphical Models -- D HMM Technicalities, Scaling, Periodic Architectures, State Functions, and Dirichlet Mixtures -- E Gaussian Processes, Kernel Methods, and Support Vector Machines -- F Symbols and Abbreviations -- References -- Index