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 (Author), Jose, Raul San (Author), Golland, Polina (Contributor), Batmanghelich, Nematollah Kayhan (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Springer-Verlag, 2015-12-14T03:12:19Z.
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