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Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention - 1 Oct 2016

Zhu Xiaofeng, Suk Heung-Il, Huang Heng, Shen Dinggang

Abstract excerpt

With the advances of neuroimaging techniques and genome sequences understanding, the phenotype and genotype data have been utilized to study the brain diseases (known as imaging genetics). One of the most important topics in image genetics is to discover the genetic basis of phenotypic markers and their associations. In such studies, the linear regression models have been playing an important role by providing...

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Identifiers

PMID: 28530001
DOI: 10.1007/978-3-319-46720-7_40
PMCID: PMC5436308

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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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