Data mining for bioinformatics
"PREFACE The flourishing field of bioinformatics has been the catalyst to transform biological research paradigms to extend beyond traditional scientific boundaries. Fueled by technological advancements in data collection, storage and analysis technologies in biological sciences, researchers ha...
Main Authors: | , |
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Format: | Electronic |
Language: | English |
Published: |
Boca Raton :
CRC Press,
2013.
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Subjects: | |
Online Access: | View fulltext via EzAccess |
Table of Contents:
- 1. Introduction to bioinformatics
- 2. Biological databases and integration
- 3. Knowledge discovery in databases
- 4. Feature selection and extraction strategies in data mining
- 5. Feature interpretation for biological learning
- 6. Clustering techniques in bioinformatics
- 7. Advanced clustering techniques
- 8. Classification techniques in bioinformatics
- 9. Validation and benchmarking.