Introduction to Data Mining for the Life Sciences
One of the major challenges for the scientific community, a challenge that has been seen in many business disciplines, is the exponential increase in data being generated by new experimental techniques and research. A single microarray experiment, for example, can generate thousands of data points t...
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| Format: | Electronic eBook |
| Language: | English |
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Totowa, NJ :
Humana Press,
2012.
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Introduction
- Fundamental Concepts
- Data Architecture and Data Modeling
- Representing Data Mining Results
- The Input Side of the Equation
- Statistical Methods
- Bayesian Statistics
- Machine Learning Techniques
- Classification and Prediction
- Informatics
- Systems Biology
- Let’s Call it a Day
- Appendix A
- Appendix B
- Appendix C. Appendix D
- Index.