Author

Michael Ohtake

Epic Systems (United States)

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Systems Biology· 1

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Approach:machine learning (classical)· 1 Research Focus:perturbation response prediction· 1

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Anastasiya Sushkova· 1 shared Christopher H. EmfingeriD· 1 shared Mark Craven· 1 shared Yiyang Jin· 1 shared Yuriy SverchkoviD· 1 shared

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Anastasiya Sushkova

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1 paper

Recent·Most cited

A graph-based learning approach to predict the effects of gene perturbations on molecular phenotypes

Yiyang Jin, Yuriy Sverchkov, Anastasiya Sushkova, Michael Ohtake, Christopher H. Emfinger, Mark Craven

This paper introduces a graph-based machine learning approach to predict gene perturbation effects on molecular phenotypes using existing experimental data and biological networks.

bioRxiv · Mar 25, 2026 · PreprintSystems Biology