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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Totowa, NJ :
Humana Press : Imprint: Humana,
2012.
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| Edición: | 1st ed. 2012. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.