Integrative genetic risk prediction using non‐parametric empirical Bayes classification

DOI10.1111/biom.12619zbMath1372.62090arXiv1607.06976OpenAlexW2509807924WikidataQ39238156 ScholiaQ39238156MaRDI QIDQ5283313

Sihai Dave Zhao

Publication date: 21 July 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1607.06976

zbMATH Keywords

empirical Bayesnonparametric maximum likelihoodGWAShigh-dimensional classificationintegrative genomicsgenetic risk prediction

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Empirical decision procedures; empirical Bayes procedures (62C12)

Related Items (1)

Simultaneous estimation of normal means with side information

Uses Software

• R
• PLINK
• saa
• REBayes
• LDpred
• LDAK

Cites Work

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• Frailty, Profile Likelihood, and Medfly Mortality

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