Introduction to machine learning and bioinformatics
"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.
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton
CRC Press
c2008
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| Series: | Series in computer science and data analysis
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Table of Contents:
- 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.