title: 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.
authors.affiliation: Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Tukholmankatu 8, 00140 Helsinki, Finland. olli.kallioniemi@fimm.fi.
authors.forename: Kalle A
authors.initials: KA
authors.lastname: Ojala
authors.forename: Sami K
authors.initials: SK
authors.lastname: Kilpinen
authors.forename: Olli P
authors.initials: OP
authors.lastname: Kallioniemi