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Advances in Genetics : Volume 72 - Jason H. Moore

Advances in Genetics

Volume 72

By: Jason H. Moore (Editor), Jay C. Dunlap (Editor)

Hardcover

Published: 1st November 2010
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Published: 10th November 2010
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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.

* Explores 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 prospects future prospects

Contributorsp. ix
Genome Simulation: Approaches for Synthesizing In Silico Datasets for Human Genomicsp. 1
Introductionp. 2
Genome Simulation Challengesp. 4
General Simulation Strategiesp. 5
A Forward-Time Simulation Example: genomeSIMLAp. 8
GenomeSIMLA: An Experimental Examplep. 16
Conclusionsp. 20
Referencesp. 21
Logic Regression and its Extensionsp. 25
Introductionp. 26
Logic Regressionp. 29
Modifications and Extensions of Logic Regressionp. 37
Referencesp. 43
Complex System Approaches to Genetic Analysis: Bayesian Approachesp. 47
Introductionp. 48
Structure of Covariatesp. 53
Estimationp. 55
Model Uncertaintyp. 61
Determining Noteworthinessp. 64
Conclusionsp. 66
Referencesp. 68
Multigenic Modeling of Complex Disease by Random Forestsp. 73
Introductionp. 74
Random Forestsp. 76
Predictionp. 81
Variable Selectionp. 83
Interpretation of the Resultsp. 93
Conclusionsp. 96
Referencesp. 97
Detecting, Characterizing, and Interpreting Nonlinear Gene-Gene Interactions Using Multifactor Dimensionality Reductionp. 101
Introductionp. 102
Machine Learning Analysis of Gene-Gene Interactions Using MDRp. 105
Filter Approaches to MDRp. 107
Wrapper Approaches to MDRp. 109
Statistical Interpretation of MDR Modelsp. 110
Summaryp. 112
Referencesp. 113
The Restricted Partition Methodp. 117
Why Look for Joint Genetic Effects?p. 118
Key Concerns Addressed by the RPMp. 120
Description of the RPMp. 127
Computational Issuesp. 133
Other Practical Issuesp. 135
Summaryp. 138
Referencesp. 138
Statistical Methods for Pathway Analysis of Genome-Wide Data for Association with Complex Genetic Traitsp. 141
Introductionp. 142
What Is Pathway Analysis?p. 143
Statistical Considerations When Analyzing GWAS Datap. 144
Statistical Methods for Pathway Analysisp. 145
Publically Available Pathway Databasesp. 158
Unresolved Analytical Issues and Scope for Further Researchp. 165
Software Packages for Pathway Analysis of GWAS Datap. 172
Conclusionsp. 172
Referencesp. 174
Providing Context and Interpretability to Genetic Association Analysis Results Using the KGraphp. 181
Introductionp. 182
The Role of Correlation Structure in Interpreting Resultsp. 183
Improving Interpretability by Including Context-Dependent Effectsp. 184
Overview of the KGraph's Structurep. 184
Creating and Exploring KGraphsp. 187
Exploring Genetic Architecture in Real-World Data Using a KGraphp. 187
Enhancements and Future Directions for the KGraphp. 191
Conclusionp. 192
Referencesp. 192
Indexp. 195
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9780123808622
ISBN-10: 0123808626
Series: Advances in Genetics : Book 72
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 210
Published: 1st November 2010
Publisher: Elsevier Science Publishing Co Inc
Country of Publication: US
Dimensions (cm): 22.9 x 15.2  x 1.78
Weight (kg): 0.51
Edition Number: 1