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A method for detection of differential distribution of methylation, based on distribution-valued data. D3M can detect the differences in high-order moments, such as shapes of underlying distributions in methylation profiles, based on the Wasserstein metric. We test the significance of the difference between case and control groups and provide an interpretable summary of the results. The simulation results show that the proposed method achieves promising accuracy and shows favorable results compared with previous methods.

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D3M classification

D3M specifications

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Command line interface
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Unix/Linux, Mac OS, Windows
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D3M distribution


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D3M support



  • Yusuke Matsuiy <>


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Nagoya University Graduate School of Medicine, Nagoya, Japan; Information Initiative Center, Hokkaido University, Sapporo, Japan; Institute of Medical Science, The University of Tokyo, Tokyo, Japan

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