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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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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2011
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3239238/ https://ncbi.nlm.nih.gov/pubmed/21955394 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gm279 |
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