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Computational methods for genetics of complex traits /

Autres auteurs : Dunlap, Jay C. | Moore, Jason H.
Collection : Advances in genetics, 0065-2660 ; . v. 72 Mention d'édition :1st ed. Détails physiques : 1 online resource (x, 200 pages) : illustrations. ISBN :9780123808639 (electronic bk.); 0123808634 (electronic bk.); 9780123808622 (electronic bk.); 0123808626 (electronic bk.).
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Exemplaires : http://www.sciencedirect.com/science/book/9780123808622

Includes bibliographical references and index.

Genome simulation: approaches for synthesizing in silico datasets for human genomics / Marylyn D. Ritchie and William S. Bush -- Logic regression and its extensions / Holger Schwender and Ingo Ruczinski -- Complex system approaches to genetic analysis: Bayesian approaches / Melanie A. Wilson ... [and others] -- Multigenic modeling of complex disease by random forests / Yan V. Sun -- Detecting, characterizing, and interpreting nonlinear gene-gene interactions using multifactor dimensionality reduction / Jason H. Moore -- The restricted partition method / Robert Culverhouse -- Statistical methods for pathway analysis of genome-wide data for association with complex genetic traits / Peter Holmans -- Providing context and interpretability to genetic association analysis results using the KGraph / Regan J. Kelly, Jennifer A. Smith, and Sharon L.R. Kardia.

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.

Description based on print version record.

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