A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space

A generative-discriminative framework that integrates imaging, genetic, and diagnosis into coupled low dimensional space

We propose a novel optimization framework that integrates imaging and genetics data for simultaneous biomarker identification and disease classification. The generative component of our model uses a dictionary learning framework to project the imaging and genetic data into a shared low dimensional s...

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Bibliographic Details
Main Authors: Sayan Ghosal, Qiang Chen, Giulio Pergola, Aaron L. Goldman, William Ulrich, Karen F. Berman, Giuseppe Blasi, Leonardo Fazio, Antonio Rampino, Alessandro Bertolino, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:NeuroImage
Subjects:
Imaging-genetics
Clinical diagnosis
Low dimensional subspace
Graph regularization
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921004778

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http://www.sciencedirect.com/science/article/pii/S1053811921004778

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