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PEACOCK: a machine learning approach to assess the validity of cell type-specific enhancer-gene regulatory relationships

Medicine and Health

PEACOCK: a machine learning approach to assess the validity of cell type-specific enhancer-gene regulatory relationships

C. Mills, C. N. Marconett, et al.

This cutting-edge research by Caitlin Mills, Crystal N. Marconett, Juan Pablo Lewinger, and Huaiyu Mi presents PEACOCK, a revolutionary machine learning tool that predicts cell type-specific enhancer-gene relationships. By utilizing validated enhancer-gene links, this model offers a powerful method to advance our understanding of gene regulation in diseases.

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