UCSF Researchers Combine DNA Microarrays, Bioinformatics to Diagnose Endometriosis | GenomeWeb

NEW YORK (GenomeWeb) – Scientists have identified patterns of gene expression that could be used to create a non-invasive diagnostic test for endometriosis, using machine learning to analyze transcriptome data obtained from microarray testing of uterine tissue.

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