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Informatively clustering longitudinal microarrays using binary or survival outcome data
The goal of this research is to discover what groups of genes are associated with the disease process. We use binary and failure time outcomes to inform the clustering of longitudinally-collected microarray data. We propose a linear model with normally distributed cluster-specific random effects for...
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| Veröffentlicht in: | Commun Stat Case Stud Data Anal Appl |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6405222/ https://ncbi.nlm.nih.gov/pubmed/30854419 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/23737484.2018.1455542 |
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