Fundamentals of Data Mining in Genomics and Proteomics /
| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2007.
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| Edición: | 1st ed. 2007. |
| Materias: |
Tabla de Contenidos:
- to Genomic and Proteomic Data Analysis
- Design Principles for Microarray Investigations
- Pre-Processing DNA Microarray Data
- Pre-Processing Mass Spectrometry Data
- Visualization in Genomics and Proteomics
- Clustering - Class Discovery in the Post-Genomic Era
- Feature Selection and Dimensionality Reduction in Genomics and Proteomics
- Resampling Strategies for Model Assessment and Selection
- Classification of Genomic and Proteomic Data Using Support Vector Machines
- Networks in Cell Biology
- Identifying Important Explanatory Variables for Time-Varying Outcomes
- Text Mining in Genomics and Proteomics.