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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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| Veröffentlicht in: | Bayesian Graph Models Biomed Imaging (2014) |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2014
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4337963/ https://ncbi.nlm.nih.gov/pubmed/25717477 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-12289-2_10 |
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