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Article

Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering

6 Jan 2007

Abstract excerpt

BACKGROUND: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell tumor (SRBCT) and thus often leads to misdiagnosis. Identification of biomarkers for distinguishing these cancers is a well studied problem. Existing methods typically evaluate each gene separately and do not take into account the...

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PMID: 17207284
DOI: 10.1186/1471-2105-8-5

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