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Semi-supervised recursively partitioned mixture models for identifying cancer subtypes
Motivation: Patients with identical cancer diagnoses often progress differently. The disparity we see in disease progression and treatment response can be attributed to the idea that two histologically similar cancers may be completely different diseases on the molecular level. Methods for identifyi...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2951086/ https://ncbi.nlm.nih.gov/pubmed/20834038 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq470 |
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