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Probabilistic Modeling in Bioinformatics and Medical Informatics
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
A Leisurely Look at Statistical Inference
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Chapter 2
Introduction to Learning Bayesian Networks from Data
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Chapter 3
A Casual View of Multi-Layer Perceptrons as Probability Models
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Chapter 4
Introduction to Statistical Phylogenetics
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Chapter 5
Detecting Recombination in DNA Sequence Alignments
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Chapter 6
RNA-Based Phylogenetic Methods
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Chapter 7
Statistical Methods in Microarray Gene Expression Data Analysis
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Chapter 8
Inferring Genetic Regulatory Networks from Microarray Experiments with Bayesian Networks
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Chapter 9
Modeling Genetic Regulatory Networks using Gene Expression Profiling and State-Space Models
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Chapter 10
An Anthology of Probabilistic Models for Medical Informatics
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Chapter 11
Bayesian Analysis of Population Pharmacokinetic/Pharmacodynamic Models
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Chapter 12
Assessing the Effectiveness of Bayesian Feature Selection
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Chapter 13
Bayes Consistent Classification of EEG Data by Approximate Marginalization
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Chapter 14
Ensemble Hidden Markov Models with Extended Observation Densities for Biosignal Analysis
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Chapter 15
A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology
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Chapter 16
Software for Probability Models in Medical Informatics
Overall attention for this book and its chapters
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Mentioned by
syllabi
1
institution with syllabi
patent
7
patents
Readers on
mendeley
116
Mendeley
Book overview
1. A Leisurely Look at Statistical Inference
2. Introduction to Learning Bayesian Networks from Data
3. A Casual View of Multi-Layer Perceptrons as Probability Models
4. Introduction to Statistical Phylogenetics
5. Detecting Recombination in DNA Sequence Alignments
6. RNA-Based Phylogenetic Methods
7. Statistical Methods in Microarray Gene Expression Data Analysis
8. Inferring Genetic Regulatory Networks from Microarray Experiments with Bayesian Networks
9. Modeling Genetic Regulatory Networks using Gene Expression Profiling and State-Space Models
10. An Anthology of Probabilistic Models for Medical Informatics
11. Bayesian Analysis of Population Pharmacokinetic/Pharmacodynamic Models
12. Assessing the Effectiveness of Bayesian Feature Selection
13. Bayes Consistent Classification of EEG Data by Approximate Marginalization
14. Ensemble Hidden Markov Models with Extended Observation Densities for Biosignal Analysis
15. A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology
16. Software for Probability Models in Medical Informatics
Summary
Syllabi
Patents
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
1
syllabus from an institution on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Denison University
1
Business, Engineering, Kinesiology