Computational Methods for Genetics of Complex Traits

Edited by

  • Jason Moore
  • Jay Dunlap, The Geisel School of Medicine, Dartmouth, NH, USA

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.
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Geneticists, molecular biologists, neurobiologists


Book information

  • Published: November 2010
  • ISBN: 978-0-12-380862-2

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