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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Published in:Genome medicine 2011-10, Vol.3 (9), p.63-63, Article 63
Main Authors: Ojala, Kalle A, Kilpinen, Sami K, Kallioniemi, Olli P
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Language:English
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creator Ojala, Kalle A
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description 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-gene basis. It is not tied to any a priori defined gene set as many previous methods, and is adaptable to emerging new information.
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title Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
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