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ASCB EMBO 2017 Poster: A machine learning framework for kinetic phenotypic prediction of neurologica

The results presented in this poster provide a strong evidence of analyzing dynamic molecular events using time-lapse microscopy for discovering the pathogenic mechanisms underlying disease phenotypes. We will multiplex additional biomolecular reporters for spatial-temporal functional dynamics and cell fate readouts in the future. For more information see full size poster.

James Lee was the poster presenter at ASCB EMBO 2017.

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