Epistasis
Methods and Protocols, Methods in Molecular Biology 1253
Jason H Moore/Scott M Williams
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Zusatztext
Inhaltsangabe1. Long Term Selection Experiments: Epistasis and The Response To SelectionCharles Goodnight 2. Finding the Epistasis Needles in the Genome-Wide HaystackMarylyn D. Ritchie 3. Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid TraitsLi Ma, Alon Keinan, and Andrew G. Clark 4. Epistasis for Quantitative Traits in DrosophilaTrudy F. C. Mackay 5. Epistasis In The Risk Of Human Neuropsychiatric DiseaseScott M Williams 6. On the Partitioning of Genetic Variance with EpistasisJosé M Álvarez-Castro and Arnaud Le Rouzic 7. Measuring Gene InteractionsThomas F. Hansen 8. Two Rules for the Detection and Quantification of Epistasis and other Interaction EffectsGünter P. Wagner 9. Direct Approach to Modeling EpistasisRong-Cai Yang 10. Capacitating Epistasis - Detection and Role in the Genetic Architecture of Complex Traits Mats E. Pettersson and Örjan Carlborg 11. Compositional Epistasis: An Epidemiologic PerspectiveEtsuji Suzuki and Tyler J. VanderWeele 12. Identification Of Genome-Wide SNP-SNP and SNP-Clinical Boolean Interactions In Age-Related Macular DegenerationCarlos Riveros, Renato Vimieiro, Elizabeth G. Holliday, Christopher Oldmeadow, Jie Jin Wang, Paul Mitchell, John Attia, Rodney J. Scott, and Pablo A. Moscato 13. Epistasis Analysis Using Information Theory Jason H. Moore and Ting Hu 14. Genome-Wide Epistasis and Pleiotropy Characterized by the Bipartite Human Phenotype Network Christian Darabos and Jason H. Moore 15. Network Theory for Data-Driven Epistasis NetworksCaleb A. Lareau and B. A. McKinney 16. Epistasis Analysis Using Multifactor Dimensionality ReductionJason H. Moore and Peter C. Andrews 17. Epistasis Analysis Using ReliefFJason H. Moore 18. Epistasis Analysis Using Artificial IntelligenceJason H. Moore and Doug P. Hill
Weitere Details
Erschienen: 17.11.2014
Umfang: x, 350 S., 44 s/w Illustr., 17 farbige Illustr., 3
Sprache: ENG
Einband: GEB
ISBN/EAN: 9781493921546
Umbreit-Nr.: 7158715
