Epistasis Methods and Protocols /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Moore, Jason H. (Editor ), Williams, Scott M. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Humana, 2015.
Edición:1st ed. 2015.
Colección:Methods in Molecular Biology, 1253
Materias:
Acceso en línea:https://doi.org/10.1007/978-1-4939-2155-3
LEADER 02238nam a22003015i 4500
001 978-1-4939-2155-3
005 20190620141934.0
007 cr nn 008mamaa
008 141117s2015 xxu| s |||| 0|eng d
020 |a 9781493921553 
024 7 |a 10.1007/978-1-4939-2155-3  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
245 1 0 |a Epistasis  |b Methods and Protocols /  |c edited by Jason H. Moore, Scott M. Williams. 
250 |a 1st ed. 2015. 
260 # # |a New York, NY :  |b Springer New York :  |b Imprint: Humana,  |c 2015. 
300 |a X, 350 p. 61 illus., 17 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Methods in Molecular Biology,  |v 1253 
505 0 |a 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. 
650 0 |a Human genetics. 
650 1 4 |a Human Genetics. 
700 1 |a Moore, Jason H.  |e editor. 
700 1 |a Williams, Scott M.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
856 4 0 |u https://doi.org/10.1007/978-1-4939-2155-3