Skip to Main content Skip to Navigation
Conference papers

Network regularization in imaging genetics improves prediction performances and model interpretability on Alzheimers's disease

Nicolas Guigui 1, 2 C. Philippe 1 A. Gloaguen 1, 3 S. Karkar 1 V. Guillemot 4 T. Löfstedt 5 V. Frouin 1
1 UNATI - Unité Analyse et Traitement de l'Information
2 CentraleSupélec
3 L2S - Laboratoire des signaux et systèmes
4 C3BI - Centre de Bioinformatique, Biostatistique et Biologie Intégrative
5 Department of Radiation Sciences [Umeå]
Abstract : Imaging-genetics is a growing popular research avenue which aims to find genetic variants associated with quantitative phenotypes that characterize a disease. In this work, we combine structural MRI with genetic data structured by prior knowledge of interactions in a Canonical Correlation Analysis (CCA) model with graph regularization. This results in improved prediction performance and yields a more inter-pretable model.
Keywords : Index Terms-Imaging-Genetics Networks Structured constraints Generalized Canonical Correlation Analysis
Document type :
Conference papers
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
https://hal-cea.archives-ouvertes.fr/cea-02016625
Contributor : Vincent Frouin Connect in order to contact the contributor
Submitted on : Tuesday, February 12, 2019 - 5:55:55 PM
Last modification on : Tuesday, January 4, 2022 - 6:38:48 AM
Long-term archiving on: : Monday, May 13, 2019 - 4:20:11 PM

File

Vignette du document
Network_regularization_in_imag...
Files produced by the author(s)

Identifiers

Collections

CEA | CNRS | CENTRALESUPELEC | JOLIOT | NEUROSPIN | CEA-DRF | CEA-UPSAY | PASTEUR | SUP_SIGNAUX | SUP_LSS | GS-COMPUTER-SCIENCE | GS-ENGINEERING

Citation

Nicolas Guigui, C. Philippe, A. Gloaguen, S. Karkar, V. Guillemot, et al.. Network regularization in imaging genetics improves prediction performances and model interpretability on Alzheimers's disease. ISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨10.1109/ISBI.2019.8759593⟩. ⟨cea-02016625⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Les métriques sont temporairement indisponibles