Probabilistic modeling in bioinformatics and medical informatics /
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
London :
Springer,
[2005]
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| Series: | Advanced information and knowledge processing.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book Publisher description |
Table of 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 ... [et al.]
- 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 ... [et al.]
- 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 ... [et al.]
- Software for probability models in medical informatics / Richard Dybowski.