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 Part
[Advanced Information and Knowledge Processing] Probabilistic Modeling in Bioinformatics and Medical Informatics || Introduction to Statistical Phylogenetics
β Scribed by Husmeier, Dirk; Dybowski, Richard; Roberts, Stephen
- Book ID
- 118254234
- Publisher
- Springer-Verlag
- Year
- 2005
- Tongue
- English
- Weight
- 621 KB
- Edition
- 2005
- Category
- Article
- ISBN-13
- 9781852337780
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
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Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.