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

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty ; volume:7 ; number:1 ; day:25 ; month:10 ; year:2017 ; pages:1-14 ; date:12.2017
Scientific reports ; 7, Heft 1 (25.10.2017), 1-14, 12.2017

Classification: Mathematik

Contributor: Du, Lei
Liu, Kefei
Yao, Xiaohui
Yan, Jingwen
Risacher, Shannon L.
Han, Junwei
Guo, Lei
Saykin, Andrew J.
Shen, Li
SpringerLink (Online service)

DOI: 10.1038/s41598-017-13930-y

URN: urn:nbn:de:101:1-2018091316013694490954

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:22 AM CEST

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Du, Lei
Liu, Kefei
Yao, Xiaohui
Yan, Jingwen
Risacher, Shannon L.
Han, Junwei
Guo, Lei
Saykin, Andrew J.
Shen, Li
SpringerLink (Online service)

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

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Other Objects (12)

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Computational approaches to non-convex, sparsity-inducing multi-penalty regularization

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