Variable prioritization in nonlinear black box methods: a genetic association case study

DOI10.1214/18-AOAS1222zbMath1423.62062arXiv1801.07318OpenAlexW2949242907WikidataQ96432244 ScholiaQ96432244MaRDI QIDQ2318669

Lorin Crawford, Seth R. Flaxman, Mike West, Daniel E. Runcie

Publication date: 15 August 2019

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.07318

zbMATH Keywords

statistical geneticsGaussian processesnonlinear regressioncentrality measuresgenome-wide association studiesvariable prioritization

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Gaussian processes (60G15) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) General nonlinear regression (62J02) Genetics and epigenetics (92D10)

Related Items (6)

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Uses Software

• PLINK
• BayesTree
• pi-MASS
• qtlbim
• GEMMA
• GaussQR
• rSGDLM
• BartPy

Cites Work

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• Mixtures of g Priors for Bayesian Variable Selection
• Model choice in generalised linear models: a Bayesian approach via Kullback-Leibler projections
• Dynamic matrix-variate graphical models

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