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Article

A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits.

Genetics - 1 Feb 2020

Gianola Daniel, Fernando Rohan L

Abstract excerpt

A multiple-trait Bayesian LASSO (MBL) for genome-based analysis and prediction of quantitative traits is presented and applied to two real data sets. The data-generating model is a multivariate linear Bayesian regression on possibly a huge number of molecular markers, and with a Gaussian residual distribution posed. Each (one per marker) of the [Formula: see text] vectors of regression coefficients (T: number of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 31879318
DOI: 10.1534/genetics.119.302934
PMCID: PMC7017027

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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