Computational Methods for Genetics of Complex Traits

Computational Methods for Genetics of Complex Traits

1st Edition - November 2, 2010

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  • Editors: Jason Moore, Jay Dunlap
  • eBook ISBN: 9780123808639

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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

Product details

  • No. of pages: 210
  • Language: English
  • Copyright: © Academic Press 2010
  • Published: November 2, 2010
  • Imprint: Academic Press
  • eBook ISBN: 9780123808639

About the Serial Volume Editors

Jason Moore

Jay Dunlap

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

Affiliations and Expertise

The Geisel School of Medicine, Dartmouth, NH, USA

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