Probabilistic Modeling of Imaging, Genetics and Diagnosis

Probabilistic Modeling of Imaging, Genetics and Diagnosis

We propose a unified Bayesian framework for detecting genetic variants associated with disease by exploiting image-based features as an intermediate phenotype. The use of imaging data for examining genetic associations promises new directions of analysis, but currently the most widely used methods m...

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Bibliographic Details
Main Authors: Quon, Gerald, Sabuncu, Mert, Batmanghelich, Nematollah, Dalca, Adrian Vasile, Golland, Polina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2018
Online Access:http://hdl.handle.net/1721.1/114228
https://orcid.org/0000-0002-1164-0500
https://orcid.org/0000-0002-8422-0136
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/114228
https://orcid.org/0000-0002-1164-0500
https://orcid.org/0000-0002-8422-0136
https://orcid.org/0000-0003-2516-731X

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