Classification of unknown primary tumors with a data-driven method based on a large microarray reference database

We present a new method to analyze cancer of unknown primary origin (CUP) samples. Our method achieves good results with classification accuracy (88% leave-one-out cross validation for primary tumors from 56 categories, 78% for CUP samples), and can also be used to study CUP samples on a gene-by-gen...

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Detalles Bibliográficos
Autores principales: Ojala, Kalle A, Kilpinen, Sami K, Kallioniemi, Olli P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239238/
https://www.ncbi.nlm.nih.gov/pubmed/21955394
http://dx.doi.org/10.1186/gm279

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239238/
https://www.ncbi.nlm.nih.gov/pubmed/21955394
http://dx.doi.org/10.1186/gm279

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