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.

Key Features

* Explores the latest topics in neural circuits and behavior research in zebrafish, drosophila, C.elegans, and mouse models * Includes methods for testing with ethical, legal, and social implications * Critically analyzes future prospects


Geneticists, molecular biologists, neurobiologists

Table of Contents

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


No. of pages:
© 2010
Academic Press
Electronic ISBN:
Print ISBN:

About the serial-volume-editors

Jay Dunlap

Dr. Jay Dunlap works at the Geisel School of Medicine at Dartmouth.