Johns Hopkins AI method uses spatial transcriptomics to identify interactions among genes in tumor microenvironment

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SpaceMarkers, a machine learning software developed by researchers at the Johns Hopkins Convergence Institute and the Johns Hopkins Kimmel Cancer Center, can identify molecular interactions among distinct types of cells in and around a tumor, according to a study published in Cell Systems.

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