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Probabilistic Modeling in Bioinformatics and Medical Informatics
Buch von Dirk Husmeier (u. a.)
Sprache: Englisch

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Beschreibung
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Zusammenfassung
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modelling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Inhaltsverzeichnis
Probabilistic Modeling.- A Leisurely Look at Statistical Inference.- to Learning Bayesian Networks from Data.- A Casual View of Multi-Layer Perceptrons as Probability Models.- Bioinformatics.- to Statistical Phylogenetics.- Detecting Recombination in DNA Sequence Alignments.- RNA-Based Phylogenetic Methods.- Statistical Methods in Microarray Gene Expression Data Analysis.- Inferring Genetic Regulatory Networks from Microarray Experiments with Bayesian Networks.- Modeling Genetic Regulatory Networks using Gene Expression Profiling and State-Space Models.- Medical Informatics.- An Anthology of Probabilistic Models for Medical Informatics.- Bayesian Analysis of Population Pharmacokinetic/Pharmacodynamic Models.- Assessing the Effectiveness of Bayesian Feature Selection.- Bayes Consistent Classification of EEG Data by Approximate Marginalization.- Ensemble Hidden Markov Models with Extended Observation Densities for Biosignal Analysis.- A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology.- Software for Probability Models in Medical Informatics.
Details
Erscheinungsjahr: 2005
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Advanced Information and Knowledge Processing
Inhalt: xx
508 S.
218 s/w Illustr.
3 s/w Fotos
215 s/w Zeichng.
ISBN-13: 9781852337780
ISBN-10: 1852337788
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Husmeier, D.
Dybowski, R.
Roberts, S.
Redaktion: Husmeier, Dirk
Roberts, Stephen
Dybowski, Richard
Herausgeber: Dirk Husmeier/Richard Dybowski/Stephen Roberts
Hersteller: Springer London
Springer-Verlag London Ltd.
Advanced Information and Knowledge Processing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 34 mm
Von/Mit: Dirk Husmeier (u. a.)
Erscheinungsdatum: 01.02.2005
Gewicht: 0,945 kg
Artikel-ID: 102480352
Zusammenfassung
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modelling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
Inhaltsverzeichnis
Probabilistic Modeling.- A Leisurely Look at Statistical Inference.- to Learning Bayesian Networks from Data.- A Casual View of Multi-Layer Perceptrons as Probability Models.- Bioinformatics.- to Statistical Phylogenetics.- Detecting Recombination in DNA Sequence Alignments.- RNA-Based Phylogenetic Methods.- Statistical Methods in Microarray Gene Expression Data Analysis.- Inferring Genetic Regulatory Networks from Microarray Experiments with Bayesian Networks.- Modeling Genetic Regulatory Networks using Gene Expression Profiling and State-Space Models.- Medical Informatics.- An Anthology of Probabilistic Models for Medical Informatics.- Bayesian Analysis of Population Pharmacokinetic/Pharmacodynamic Models.- Assessing the Effectiveness of Bayesian Feature Selection.- Bayes Consistent Classification of EEG Data by Approximate Marginalization.- Ensemble Hidden Markov Models with Extended Observation Densities for Biosignal Analysis.- A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology.- Software for Probability Models in Medical Informatics.
Details
Erscheinungsjahr: 2005
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Reihe: Advanced Information and Knowledge Processing
Inhalt: xx
508 S.
218 s/w Illustr.
3 s/w Fotos
215 s/w Zeichng.
ISBN-13: 9781852337780
ISBN-10: 1852337788
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Autor: Husmeier, D.
Dybowski, R.
Roberts, S.
Redaktion: Husmeier, Dirk
Roberts, Stephen
Dybowski, Richard
Herausgeber: Dirk Husmeier/Richard Dybowski/Stephen Roberts
Hersteller: Springer London
Springer-Verlag London Ltd.
Advanced Information and Knowledge Processing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 34 mm
Von/Mit: Dirk Husmeier (u. a.)
Erscheinungsdatum: 01.02.2005
Gewicht: 0,945 kg
Artikel-ID: 102480352
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