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Article

A novel structure-aware sparse learning algorithm for brain imaging genetics.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention - 1 Jan 2014

Du Lei, Jingwen Yan, Kim Sungeun, Risacher Shannon L, Huang Heng, Inlow Mark, Moore Jason H, Saykin Andrew J, Shen Li

Abstract excerpt

Brain imaging genetics is an emergent research field where the association between genetic variations such as single nucleotide polymorphisms (SNPs) and neuroimaging quantitative traits (QTs) is evaluated. Sparse canonical correlation analysis (SCCA) is a bi-multivariate analysis method that has the potential to reveal complex multi-SNP-multi-QT associations. Most existing SCCA algorithms are designed using the...

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Identifiers

PMID: 25320816
DOI: 10.1007/978-3-319-10443-0_42
PMCID: PMC4203420

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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