Supplemental Material for Tyler et al., 2019

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posted on 2019-10-23, 15:10 authored by Anna L. Tyler, Abbas Raza, Dimitry N. Krementsov, Laure K. Case, Rui Huang, Runlin Z. Ma, Elizabeth P. Blankenhorn, Cory Teuscher, J. Matthew Mahoney

Supplemental Files accompanying the manuscript "Network-based functional prediction augments genetic association to predict candidate genes for histamine hypersensitivity in mice." Files include all supplemental figures, supplemental tables, and supplemental files referenced in the manuscript.

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Article title

Network-Based Functional Prediction Augments Genetic Association To Predict Candidate Genes for Histamine Hypersensitivity in Mice

Manuscript #

G3/2019/400740R1

Article DOI

10.1534/g3.119.400740

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Keywords

gene prioritization machine learning quantitative trait locus histamine hypersensitivity Clarkson's Disease Computational Biology Genetics Quantitative Genetics (incl. Disease and Trait Mapping Genetics)

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CC BY 4.0

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