Practical Considerations for Dividing Data into Subsets Prior to PPL Analysis | Zendy

Manika Govil | Zendy; Veronica J. Vieland | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Practical Considerations for Dividing Data into Subsets Prior to PPL Analysis

Author(s) -

Manika Govil,

Veronica J. Vieland

Publication year - 2008

Publication title -

human heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.423

H-Index - 62

eISSN - 1423-0062

pISSN - 0001-5652

DOI - 10.1159/000143405

Subject(s) - replicate , linkage (software) , locus (genetics) , bayesian probability , genetic linkage , genetic heterogeneity , trait , biology , quantitative trait locus , computational biology , genetics , statistics , computer science , mathematics , phenotype , gene , programming language

The PPL, a class of statistics for complex trait genetic mapping in humans, utilizes Bayesian sequential updating to accumulate evidence for or against linkage across potentially heterogeneous data (sub)sets. Here, we systematically explore the relative efficacy of alternative subsetting approaches for purposes of PPL calculation.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research