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

ABSTRACT: 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.

SUBMITTER: Ojala KA 

PROVIDER: S-EPMC3239238 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature