Research Catalog
Probabilistic modeling in bioinformatics and medical informatics
- Title
- Probabilistic modeling in bioinformatics and medical informatics / Dirk Husmeier, Richard Dybowski, and Stephen Roberts (eds.).
- Publication
- London : Springer, ©2005.
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1 Item
| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
| Text | Use in library | QH324.2 .P76 2005 | Off-site |
Details
- Additional Authors
- Description
- xix, 504 pages : illustrations; 25 cm
- Summary
- "Probabilistic Modeling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, informatics, and the biological sciences with Part 1 providing a self-contained introduction to Bayesian networks, neural computation and probabilistic inference, and Parts 2 & 3 demonstrating how these methods are applied in bioinformatics and medical informatics. All three fields are evolving rapidly and this book will be a welcome addition to the field."--Jacket.
- Series Statement
- Advanced information and knowledge processing, 1610-3947
- Uniform Title
- Advanced information and knowledge processing.
- Subject
- Bioinformatics > Methodology
- Medical informatics > Methodology
- Bayesian statistical decision theory
- Computational Biology > methods
- Medical Informatics > methods
- Bayes Theorem
- Models, Statistical
- Bioinformatik
- Medizinische Informatik
- Stochastisches Modell
- Bio-informatica
- Geneeskunde
- Informatica
- Bioinformática
- Medicina
- Ciência da computação
- Genre/Form
- Aufsatzsammlung.
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- A leisurely look at statistical inference / Dirk Husmeier -- Introduction to learning Bayesian networks from data / Dir Husmeier -- A casual view of multi-layer perceptrons as probability models / Richard Dybowski -- Introduction to statistical phylogenetics / Dirk Husmeier -- Detecting recombination in DNA sequence alignments / Dirk Husmeier, Frank Wright -- RNA-based phylogenetic methods / Magnus Rattray, Paul G. Higgs -- Statistical methods in microarray gene expression data analysis / Claus-Dieter Mayer, Chris A. Glasbey -- Inferring genetic regulatory networks from microarray experiments with Bayesian networks / Dirk Husmeier -- Modeling genetic regulatory networks using gene expression profiling and state-space models / Claudia Rangel [and others].
- An anthology of probabilistic models for medical informatics / Richard Dybowski, Stephen Roberts -- Bayesian analysis of population pharmacokinetic/pharmacodynamic models / David J. Lunn -- Assessing the effectiveness of Bayesian feature selection / Ian T. Nabney [and others] -- Bayes consistent classification of EEG data by approximate marginalization / Peter Sykacek, Iead Rezek, and Stephen Roberts -- Ensemble hidden Markov models with extended observation densities for biosignal analysis / Iead Rezek, Stephen Roberts -- A probabilistic network for fusion of data and knowledge in clinical microbiology / Steen Andreassen [and others] -- Software for probability models in medical informatics / Richard Dybowski.
- ISBN
- 1852337788
- 9781852337780
- 9781846281198
- 1846281199
- LCCN
- 2004051826
- OCLC
- ocm55633570
- 55633570
- SCSB-9615489
- Owning Institutions
- Princeton University Library