Statistical Methods for QTL Mapping
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ISBN: 9781439868300
Author/Editor: Zehua Chen
Publisher: CRC Press
Year: 2013
1 in stock (can be backordered)
Description
While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping.
After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to use a feature selection approach to tackle a QTL mapping problem with dense markers. The book also provides comprehensive coverage of Bayesian models and MCMC algorithms and describes methods for multi-trait QTL mapping and eQTL mapping, including meta-trait methods and multivariate sequential procedures.
This book emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. It gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. Written primarily for geneticists and statisticians specializing in QTL mapping, the book can also be used as a supplement in graduate courses or for self-study by PhD students working on QTL mapping projects.
Additional information
| Weight | 0.567 kg |
|---|
Product Properties
| Year of Publication | 2013 |
|---|---|
| Table of Contents | Biological Background A Brief Sketch of the History of Genetics and Mendel's Pea Plant Experiments Basic Elements of Genetics Cell Division, Crossover and Recombination Gene Expression Genetic Maps and Mapping Functions Experimental Crosses Selected Topics in Statistics Population and Distribution Random Variable, Samples, Statistics and Related Distribution Estimation Hypothesis Testing Linear and Generalized Linear Models Mixture Models and EM Algorithm Bayesian Analysis Samplers for Markov Chain Monte Carlo Simulation An Overview on Feature Selection with Small-n-large-p Models Model Selection Criteria for Small-n-large-p Models Quantitative Genetics and General Issues on QTL Mapping Distributional Features of Genetic Quantitative Traits Genetic Values and Variances Statistical Models with Known QTL Genotypes Conditional Probabilities of Putative QTL Genotypes Given Markers QTL Mapping Data One-Dimensional Mapping Approaches QTL Mapping by Single-Marker Analysis Single Interval Mapping Composite Interval Mapping Determination of Threshold Values Determination of Sample Sizes Selective Genotyping Multiple Interval Mapping Gaussian Mixture Models for QTL Mapping An EM Algorithm for Gaussian Mixture Models Mixture Generalized Linear Models General EM Algorithms for Mixture Generalized Linear Models Multiple Interval Mapping Procedures Example: The Analysis of Radiata Pine Data Multiple Interval Mapping with Polytomous Traits Multiple Interval Mapping of Traits with Spike Distributions QTL Mapping with Dense Markers Feature Selection Methods for QTL Mapping QTL Mapping with Consideration of QTL Epistatic Effects Bayesian Approach to QTL Mapping The Framework of the Bayesian Approach to QTL Mapping Bayesian QTL Mapping with Inbred Line Cross Data Bayesian QTL Mapping for Outbred Offsprings Bayesian QTL Mapping for Ordinal Polytomous Traits Multi-Trait QTL Mapping and eQTL Mapping Multi-Trait QTL Mapping I: Single-QTL Model Approaches Multi-Trait QTL Mapping II: Multi-QTL Model Approaches eQTL Mapping Approaches Bibliography Index |
| Author | Zehua Chen |
| ISBN/ISSN | 9781439868300 |
| Binding | Hardback |
| Edition | 1 |
| Publisher | CRC Press |
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