High-Dimensional Data Analysis in Cancer Research

By Xiaochun Li

Book Overview

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

• Format: Paperback
• Language: English
• ISBN: 1441924140
• ISBN13: 9781441924148
• Release Date: November 2010
• Publisher: Springer
• Length: 392 Pages
• Weight: 0.54 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"