Introduction to Machine Learning & Bioin
β Sushmita Mitra, Sujay Datta, Theodore Perkins, George Michailidis
π Library
π
2008
π CRC
π English
β¦ LIBER β¦
π
Introduction to machine learning and bioinformatics
β Scribed by Sushmita Mitra
- Publisher
- CRC Press
- Year
- 2008
- Tongue
- English
- Leaves
- 378
- Series
- Series in computer science and data analysis
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
"Shedding light on aspects of both machine learning and bioinformatics, this text shows how the innovative tools and techniques of machine learning help extract knowledge from the deluge of information produced by today's biological experiments."--Jacket.
β¦ Table of Contents
Content: 1. Introduction --
2. The biology of a living organism --
3. Probabilistic and model-based learning --
4. Classification techniques --
5. Unsupervised learning techniques --
6. Computational intelligence in bioinformatics --
7. Connections between machine learning and bioinformatics --
8. Machine learning in structural biology : interpreting 3D protein images --
9. Soft computing in biclustering --
10. Bayesian machine-learning methods for tumor classification using gene expression data --
11. Modeling and analysis of quantitative proteomics data obtained from iTRAQ experiments --
12. Statistical methods for classifying mass spectrometry database search results.
Abstract:
Presents an introduction to the basic ideas and developments in machine learning and bioinformatics. This book describes various problems in bioinformatics and the concepts and algorithms of machine οΏ½Read more...
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