𝔖 Bobbio Scriptorium
✦   LIBER   ✦

[Advanced Information and Knowledge Processing] Probabilistic Modeling in Bioinformatics and Medical Informatics || Introduction to Statistical Phylogenetics

✍ 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.

✦ 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.


πŸ“œ SIMILAR VOLUMES


[Advanced Information and Knowledge Proc
✍ Husmeier, Dirk; Dybowski, Richard; Roberts, Stephen πŸ“‚ Article πŸ“… 2005 πŸ› Springer-Verlag 🌐 English βš– 241 KB

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 Proc
✍ Wu, Xindong; Jain, Lakhmi; Wang, Jason T.L.; Zaki, Mohammed J.; Toivonen, Hannu πŸ“‚ Article πŸ“… 2005 πŸ› Springer-Verlag 🌐 English βš– 111 KB

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.