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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 forum

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D3M versioning

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D3M classification

D3M specifications

Software type:
Package
Restrictions to use:
None
Programming languages:
R
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced

Publications

D3M support

Maintainer

Credits

Institution(s)

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

Link to literature

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