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Article

Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies.

NeuroImage - 1 Apr 2017

Lu Zhao-Hua, Khondker Zakaria, Ibrahim Joseph G, Wang Yue, Zhu Hongtu

Abstract excerpt

To perform a joint analysis of multivariate neuroimaging phenotypes and candidate genetic markers obtained from longitudinal studies, we develop a Bayesian longitudinal low-rank regression (L2R2) model. The L2R2 model integrates three key methodologies: a low-rank matrix for approximating the high-dimensional regression coefficient matrices corresponding to the genetic main effects and their interactions with...

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Identifiers

PMID: 28143775
DOI: 10.1016/j.neuroimage.2017.01.052
PMCID: PMC5368019

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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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