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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Detalles Bibliográficos
Autores principales: Ojala, Kalle A, Kilpinen, Sami K, Kallioniemi, Olli P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239238/
https://www.ncbi.nlm.nih.gov/pubmed/21955394
http://dx.doi.org/10.1186/gm279
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author Ojala, Kalle A
Kilpinen, Sami K
Kallioniemi, Olli P
author_facet Ojala, Kalle A
Kilpinen, Sami K
Kallioniemi, Olli P
author_sort Ojala, Kalle A
collection PubMed
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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spelling pubmed-32392382011-12-16 Classification of unknown primary tumors with a data-driven method based on a large microarray reference database Ojala, Kalle A Kilpinen, Sami K Kallioniemi, Olli P Genome Med Method 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. BioMed Central 2011-10-17 /pmc/articles/PMC3239238/ /pubmed/21955394 http://dx.doi.org/10.1186/gm279 Text en Copyright ©2011 Ojala et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Ojala, Kalle A
Kilpinen, Sami K
Kallioniemi, Olli P
Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
title Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
title_full Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
title_fullStr Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
title_full_unstemmed Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
title_short Classification of unknown primary tumors with a data-driven method based on a large microarray reference database
title_sort classification of unknown primary tumors with a data-driven method based on a large microarray reference database
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239238/
https://www.ncbi.nlm.nih.gov/pubmed/21955394
http://dx.doi.org/10.1186/gm279
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