Epistasis Methods and Protocols [electronic resource] :

  • Moore, Jason H. editor. , Williams, Scott M. editor.
  • 2015
Epistasis Methods and Protocols [electronic resource] :
  • Data Type
  • Title/Author
    Epistasis[electronic resource] :Methods and Protocols / edited by Jason H. Moore, Scott M. Williams.
  • Author
    Moore, Jason H., editor., Williams, Scott M., editor.
  • Authors
    SpringerLink (Online service)
  • Phy Desc.
    X, 350 p. 61 illus., 17 illus. in color. : online resource.
  • Total State.
    Methods in Molecular Biology, Methods and Protocols,1064-3745 ; 1253
  • Contents Note
    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 Epistasis혻 - Detection and Role in the Genetic Architecture of Complex Traits -- Compositional Epistasis: An Epidemiologic Perspective -- Identification Of Genome?봚ide SNP?봖NP and SNP?봀linical Boolean Interactions In Age?봕elated Macular Degeneration -- Epistasis Analysis Using Information Theory -- Genome-Wide Epistasis and Pleiotropy Characterized by the Bipartite Human -- Network Theory for Data-Driven Epistasis Networks -- 혻Epistasis Analysis Using Multifactor Dimensionality Reduction -- 혻Epistasis Analysis Using ReliefF -- Epistasis Analysis Using Artificial Intelligence.
  • Topical Term
    Human genetics.
    Human Genetics.
  • Host Item
    Springer eBooks
  • Additional Item
    Printed edition: 9781493921546
  • ISBN
  • Language