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Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering
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 w...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1770936/ https://www.ncbi.nlm.nih.gov/pubmed/17207284 http://dx.doi.org/10.1186/1471-2105-8-5 |