Epistasis
Humana Press Inc. (Verlag)
978-1-4939-2154-6 (ISBN)
Authoritative and practical, Epistasis: Methods and Protocols aids scientists in continuing to study elucidate epistasis in the context of modern data availability.
Long Term Selection Experiments: Epistasis and The Response To Selection.- Finding the Epistasis Needles in the Genome-Wide Haystack.- Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits.- Epistasis for Quantitative Traits in Drosophila.- Epistasis In The Risk Of Human Neuropsychiatric Disease.- On the Partitioning of Genetic Variance with Epistasis.- Measuring Gene Interactions.- Two Rules for the Detection and Quantification of Epistasis and other Interaction Effects.- Direct Approach to Modeling Epistasis.- Capacitating Epistasis - Detection and Role in the Genetic Architecture of Complex Traits.- Compositional Epistasis: An Epidemiologic Perspective.- Identification Of Genome—Wide SNP—SNP and SNP—Clinical Boolean Interactions In Age—Related Macular Degeneration.- Epistasis Analysis Using Information Theory.- Genome-Wide Epistasis and Pleiotropy Characterized by the Bipartite Human.- Network Theory for Data-Driven Epistasis Networks.- Epistasis Analysis Using Multifactor Dimensionality Reduction.- Epistasis Analysis Using ReliefF.- Epistasis Analysis Using Artificial Intelligence.
Reihe/Serie | Methods in Molecular Biology ; 1253 |
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Zusatzinfo | 17 Illustrations, color; 44 Illustrations, black and white; X, 350 p. 61 illus., 17 illus. in color. |
Verlagsort | Totowa, NJ |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
Medizin / Pharmazie ► Medizinische Fachgebiete | |
Studium ► 2. Studienabschnitt (Klinik) ► Humangenetik | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
Schlagworte | allelic average excess • decomposition of genetic variance • de novo mutations • epistasis • genetic variance • genome wide data sets • genotype to phenotype maps • Modern genetic analyses • quantitative trait locus mapping • trait’s genetic architecture |
ISBN-10 | 1-4939-2154-1 / 1493921541 |
ISBN-13 | 978-1-4939-2154-6 / 9781493921546 |
Zustand | Neuware |
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