Classification of unknown primary tumors with a data-driven method based on a large microarray reference database.
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ABSTRACT:
SUBMITTER: Ojala KA
PROVIDER: S-EPMC3239238 | biostudies-literature | 2011
REPOSITORIES: biostudies-literature
Publications
Classification of unknown primary tumors with a data-driven method based on a large microarray reference database.
Ojala Kalle A KA Kilpinen Sami K SK Kallioniemi Olli P OP
Genome medicine 20111017 9
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. ...[more]
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