Applied statistical genetics with R for population-based association studies /
"The vast array of molecular level information now available presents exciting opportunities to characterize the genetic underpinnings of complex diseases while discovering novel biological pathways to disease progression. In this introductory graduate level text, Dr. Foulkes elucidates core co...
| Main Author: | Foulkes, Andrea S. |
|---|---|
| Other Authors: | SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer Verlag,
©2009.
New York : [2009] |
| Physical Description: |
1 online resource (xxiii, 252 pages) : illustrations. |
| Series: |
Use R!
|
| Subjects: |
Table of Contents:
- Genetic Association Studies. Overview of population-based investigations ; Data components and terminology ; Data examples.
- Elementary Statistical Principles. Background ; Measures and tests of association ; Analytic challenges.
- Genetic Data Concepts and Tests. Linkage disequilibrium (LD) ; Hardy-Weinberg equilibrium (HWE) ; Quality control and preprocessing.
- Multiple Comparison Procedures. Measures of error ; Single-step and step-down adjustments ; Resampling-based methods ; Alternative paradigms.
- Methods for Unobservable Phase. Haplotype estimation ; Estimating and testing for haplotype-trait association.
- Classication and Regression Trees. Building a tree ; Optimal trees.
- Additional Topics in High-Dimensional Data Analysis. Random forests ; Logic regression ; Multivariate adaptive regression splines ; Bayesian variable selection ; Further readings.