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Article

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.

Scientific reports - 25 Oct 2017

Du Lei, Liu Kefei, Yao Xiaohui, Yan Jingwen, Risacher Shannon L, Han Junwei, Guo Lei, Saykin Andrew J, Shen Li

Abstract excerpt

Brain imaging genetics intends to uncover associations between genetic markers and neuroimaging quantitative traits. Sparse canonical correlation analysis (SCCA) can discover bi-multivariate associations and select relevant features, and is becoming popular in imaging genetic studies. The L1-norm function is not only convex, but also singular at the origin, which is a necessary condition for sparsity. Thus most...

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Identifiers

PMID: 29070790
DOI: 10.1038/s41598-017-13930-y
PMCID: PMC5656688

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APOE

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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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