High-Dimensional Data Analysis in Cancer Research /
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Applied Bioinformatics and Biostatistics in Cancer Research,
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| Subjects: |
Table of Contents:
- On the Role and Potential of High-Dimensional Biologic Data in Cancer Research
- Variable selection in regression - estimation, prediction,sparsity, inference
- Multivariate Nonparametric Regression
- Risk Estimation
- Tree-Based Methods
- Support Vector Machine Classification for High Dimensional Microarray Data Analysis, With Applications in Cancer Research
- Bayesian Approaches: Nonparametric Bayesian Analysis of Gene Expression Data.