QTL mapping remains a vibrant area of research in genetics. Proper and efficient statistical methods are crucial for QTL mapping to be fruitful, yet there are relatively few books covering these methods. Statistical Methods for QTL Mapping presents a comprehensive and up-to-date overview of statistical methods for QTL mapping. It covers one-dimensional mapping, multiple interval mapping with various traits, nonparametric methods and Bayesian approaches, feature selection, and expression QTL mapping.
Statistical Methods for QTL Mapping includes the necessary biological and statistical background to appeal to both statisticians and geneticists.
- Biological Background
- Statistical Background
- One-Dimensional Mapping Approaches
- Multiple Interval Mapping with Gaussian Traits
- Multiple Interval Mapping with Non-Gaussian Traits
- Other Methods
- QTL Mapping with Dense Markers
- eQTL Mapping
- R Packages