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Interpretable multi-modal data integration

Integrating multi-modal features is challenging due to the differences in the underlying distributions of each data type and the nonlinear associations across modalities. The deepManReg model improves the identification and interpretability of associations between modalities defining complex phenotypes.

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Fig. 1: An example of single-cell multi-modal data integration through deepManReg.


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Correspondence to Daniel Osorio.

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Osorio, D. Interpretable multi-modal data integration. Nat Comput Sci 2, 8–9 (2022).

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