Computational Methods for Genetics of Complex Traits

The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits.

Explores the latest topics in neural circuits and behavior research in zebrafish, drosophila, C.elegans, and mouse modelsIncludes methods for testing with ethical, legal, and social implicationsCritically analyzes future prospects

Logic Regression and Extensions

Holger Schwender and Ingo Ruczinski

2. Complex System Approaches to Genetic Analysis: Bayesian Approaches

Melanie A. Wilson, James W. Burley, Duncan C. Thomas, and David V. Conti

3. Multigenic Modeling of Complex Disease by Random Forests

Yan V. Sun

4. Detecting, Characterizing and Interpreting Nonlinear Gene-Gene Interactions using Multifactor Dimensionality Reduction

Jason H. Moore, Ph.D

5. The Restricted Partition Method

Rob Culverhouse, Ph.D

6. Statistical Methods For Pathway Analysis Of Genome-Wide Data For Association With Complex Genetic Traits

Peter Holmans

7. Providing Context and Interpretability to Genetic Association Analysis Results Using the KGraph

Reagan J. Kelly, Jennifer A. Smith, and Sharon L.R. Kardia