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Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
Motivation: The molecular complexity of a tumor manifests itself at the genomic, epigenomic, transcriptomic and proteomic levels. Genomic profiling at these multiple levels should allow an integrated characterization of tumor etiology. However, there is a shortage of effective statistical and bioinf...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2009
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2800366/ https://ncbi.nlm.nih.gov/pubmed/19759197 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp543 |
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