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Computational methods for g...
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.* 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
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monografia Rebiun19709158 https://catalogo.rebiun.org/rebiun/record/Rebiun19709158 m o d | cr -n--------- 101118s2010 ne a ob 001 0 eng d 1-282-88685-1 9786612886850 0-12-380863-4 UPVA 997187032403706 CBUC 991010400101006709 CBUC 991013419520006708 CBUC 991010400101006709 MiAaPQ MiAaPQ MiAaPQ eng 636.0896042 Dunlap, Jay C. Computational methods for genetics of complex traits electronic resource] edited by Jay C. Dunlap, Jason H. Moore Advances in Genetics Advances in Genetics, Volume 72C 1st ed Amsterdam Boston Elsevier/Academic Press 2010 Amsterdam Boston Amsterdam Boston Elsevier/Academic Press 1 online resource (211 p.) 1 online resource (211 p.) Text txt computer c online resource cr Advances in genetics 0065-2660 v. 72 Description based upon print version of record Includes bibliographical references and index Front Cover; Computational Methods for Genetics of ComplexTraits; Copyright; Contents; Contributors; Chapter 1: Genome Simulation: Approaches for Synthesizing In Silico Datasets for Human Genomics; I. Introduction; II. Genome Simulation Challenges; III. General Simulation Strategies; IV. A Forward-Time Simulation Example: genomeSIMLA; V. GenomeSIMLA: An Experimental Example; VI. Conclusions; References; Chapter 2: Logic Regression and Its Extensions; I. Introduction; II. Logic Regression; III. Modifications and Extensions of Logic Regression; References Chapter 3: Complex System Approaches to Genetic Analysis: Bayesian ApproachesI. Introduction; II. Structure of Covariates; III. Estimation; IV. Model Uncertainty; V. Determining Noteworthiness; VI. Conclusions; References; Chapter 4: Multigenic Modeling of Complex Disease by Random Forests; I. Introduction; II. Random Forests; III. Prediction; IV. Variable Selection; V. Interpretation of the Results; VI. Conclusions; References; Chapter 5: Detecting, Characterizing, and Interpreting Nonlinear Gene-Gene Interactions Using Multifactor Dimensionality Reduction; I. Introduction II. Machine Learning Analysis of Gene-Gene Interactions Using MDRIII. Filter Approaches to MDR; IV. Wrapper Approaches to MDR; V. Statistical Interpretation of MDR Models; VI. Summary; Acknowledgments; References; Chapter 6: The Restricted Partition Method; I. Why Look for Joint Genetic Effects?; II. Key Concerns Addressed by the RPM; III. Description of the RPM; IV. Computational Issues; V. Other Practical Issues; VI. Summary; Acknowledgments; References; Chapter II. What Is Pathway Analysis?III. Statistical Considerations When Analyzing GWAS Data; IV. Statistical Methods for Pathway Analysis; V. Publically Available Pathway Databases; VI. Unresolved Analytical Issues and Scope for Further Research; VII. Software Packages for Pathway Analysis of GWAS Data; VIII. Conclusions; References; Chapter 8: Providing Context and Interpretability to Genetic Association Analysis Results Using the KGraph; I. Introduction; II. The Role of Correlation Structure in Interpreting Results; III. Improving Interpretability by Including Context-Dependent Effects IV. Overview of the KGraph's StructureV. Creating and Exploring KGraphs; VI. Exploring Genetic Architecture in Real-World Data Using a KGraph; VII. Enhancements and Future Directions for the KGraph; VIII. Conclusion; References; Index 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.* 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 English Genetics- Computer simulation Genetics- Mathematical models Bayesian statistical decision theory Human genetics Electronic books Dunlap, Jay C. Moore, Jason H. Advances in genetics (CKB)954926956852 (DLC)2011233068 (OCoLC)61765346 0-12-380862-6 Advances in genetics