Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies

Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies

In this paper, we use Spherical Topic Models to discover the latent structure of lung disease. This method can be widely employed when a measurement for each subject is provided as a normalized histogram of relevant features. In this paper, the resulting descriptors are used as phenotypes to identif...

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Bibliographic Details
Main Authors: Cho, Michael, Jose, Raul San, Golland, Polina, Batmanghelich, Nematollah Kayhan
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer-Verlag 2015
Online Access:http://hdl.handle.net/1721.1/100233
https://orcid.org/0000-0002-1164-0500
https://orcid.org/0000-0003-2516-731X

Internet

http://hdl.handle.net/1721.1/100233
https://orcid.org/0000-0002-1164-0500
https://orcid.org/0000-0003-2516-731X

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