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Computational Methods for ­Genetics of Complex Traits
By Jason H. Moore (Volume editor), Jay C. Dunlap (Volume editor)

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Format
Hardback, 210 pages
Published
United Kingdom, 27 December 2010

Genes interact with environment, experience, and the biology of the brain to shape an animal's behavior. This latest volume in "Advances in Genetics", organized according to the most widely used model organisms, describes the latest genetic discoveries in relation to neural circuit development and activity. It explores latest topics in neural circuits and behavior research in zebrafish, drosophila, c.elegans, and mouse models. It includes methods for testing with ethical, legal, and social implications. It critically analyzes prospects future prospects.


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Product Description

Genes interact with environment, experience, and the biology of the brain to shape an animal's behavior. This latest volume in "Advances in Genetics", organized according to the most widely used model organisms, describes the latest genetic discoveries in relation to neural circuit development and activity. It explores latest topics in neural circuits and behavior research in zebrafish, drosophila, c.elegans, and mouse models. It includes methods for testing with ethical, legal, and social implications. It critically analyzes prospects future prospects.

Product Details
EAN
9780123808622
ISBN
0123808626
Dimensions
23.1 x 15.5 x 1.8 centimeters (0.51 kg)

Promotional Information

The latest volume in the widely-praised Advances in Genetics series

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

About the Author

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

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