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Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields
Motivation: The heterogeneity of cancer cannot always be recognized by tumor morphology, but may be reflected by the underlying genetic aberrations. Array comparative genome hybridization (array-CGH) methods provide high-throughput data on genetic copy numbers, but determining the clinically relevan...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677736/ https://www.ncbi.nlm.nih.gov/pubmed/19052061 http://dx.doi.org/10.1093/bioinformatics/btn585 |