High-Dimensional Data Analysis in Cancer Research
2. On the Role and Potential of High-Dimensional Biologic Data in Cancer Research
Ross L. Prentice
3. Variable selection in regression - estimation, prediction,sparsity, inference
Jaroslaw Harezlak, Eric Tchetgen, Xiaochun Li
4. Multivariate Nonparametric Regression
Charles Kooperberg, Michael LeBlanc
5. Risk Estimation
Ronghui Xu, Anthony Gamst
6. Tree-Based Methods
Adele Cutler, D. Richard Cutler, John R. Stevens
7. Support Vector Machine Classification for High Dimensional Microarray Data Analysis, With Applications in Cancer Research
Hao Helen Zhang
8. Bayesian Approaches: Nonparametric Bayesian Analysis of Gene Expression Data
Sonia Jain
Avainsanat: TECHNOLOGY & ENGINEERING / Biomedical TEC059000
- Julkaisija
- Springer
- Julkaisuvuosi
- 2009
- Kieli
- en
- Painos
- 1
- Kategoria
- Terveys, kauneus, muoti
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9780387697659