NHGRI Researchers Use Microarrays, Artificial Neural Networks to Diagnose Childhood Cancers | GenomeWeb

Combining cDNA microarrays and artificial neural networks (ANN), researchers at the National Human Genome Research Institute and Lund University in Sweden have developed a genetic fingerprinting method for diagnosing four difficult-to-distinguish childhood cancers.

The researchers, who published their findings in the June 2001 issue of Nature Medicine, analyzed gene expression patterns in four different types of similar small, round blue-cell tumors (SRBCT), neuroblastoma, rhabdomyosarcoma, non-Hodgkin’s lymphoma, and the Ewing family of tumors.

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