A review of Bayesian variable selection methods: what, how and which

RB O'hara, MJ Sillanpää - 2009 - projecteuclid.org
A Review of Bayesian Variable Selection Methods: What, How and Which Page 1 Bayesian
Analysis (2009) 4, Number 1, pp. 85–118 A Review of Bayesian Variable Selection Methods …

A spectrum of explainable and interpretable machine learning approaches for genomic studies

AM Conard, A DenAdel… - Wiley Interdisciplinary …, 2023 - Wiley Online Library
The advancement of high‐throughput genomic assays has led to enormous growth in the
availability of large‐scale biological datasets. Over the last two decades, these increasingly …

[图书][B] Molecular plant breeding

Y Xu - 2010 - books.google.com
Recent advances in plant genomics and molecular biology have revolutionized our
understanding of plant genetics, providing new opportunities for more efficient and …

Bayesian LASSO for quantitative trait loci mapping

N Yi, S Xu - Genetics, 2008 - academic.oup.com
The mapping of quantitative trait loci (QTL) is to identify molecular markers or genomic loci
that influence the variation of complex traits. The problem is complicated by the facts that …

The Bayesian lasso for genome-wide association studies

J Li, K Das, G Fu, R Li, R Wu - Bioinformatics, 2011 - academic.oup.com
Motivation: Despite their success in identifying genes that affect complex disease or traits,
current genome-wide association studies (GWASs) based on a single SNP analysis are too …

Fast empirical Bayesian LASSO for multiple quantitative trait locus mapping

X Cai, A Huang, S Xu - BMC bioinformatics, 2011 - Springer
Abstract Background The Bayesian shrinkage technique has been applied to multiple
quantitative trait loci (QTLs) mapping to estimate the genetic effects of QTLs on quantitative …

Metagenes associated with survival in non-small cell lung cancer

E Urgard, T Vooder, U Võsa, K Välk, M Liu… - Cancer …, 2011 - journals.sagepub.com
NSCLC (non-small cell lung cancer) comprises about 80% of all lung cancer cases
worldwide. Surgery is most effective treatment for patients with early-stage disease …

Back to basics for Bayesian model building in genomic selection

HP Kärkkäinen, MJ Sillanpää - Genetics, 2012 - academic.oup.com
Numerous Bayesian methods of phenotype prediction and genomic breeding value
estimation based on multilocus association models have been proposed. Computationally …

Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses

MJ Sillanpää - Heredity, 2011 - nature.com
Population-based genomic association analyses are more powerful than within-family
analyses. However, population stratification (unknown or ignored origin of individuals from …

Bayesian lasso binary quantile regression

DF Benoit, R Alhamzawi, K Yu - Computational Statistics, 2013 - Springer
In this paper, a Bayesian hierarchical model for variable selection and estimation in the
context of binary quantile regression is proposed. Existing approaches to variable selection …