Epistasis Methods and Protocols /
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2015.
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| Edición: | 1st ed. 2015. |
| Colección: | Methods in Molecular Biology,
1253 |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-1-4939-2155-3 |
Tabla de Contenidos:
- 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.