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Anastasiya Sushkova

Stanford University

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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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Christopher H. EmfingeriD· 1 shared Mark Craven· 1 shared Michael Ohtake· 1 shared Yiyang Jin· 1 shared Yuriy SverchkoviD· 1 shared

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Systems BiologybioRxivPreprintMar 25, 2026

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

Yiyang Jin, Yuriy Sverchkov, Anastasiya Sushkova…·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.

DOI 10.64898/2026.03.20.712202

machine learning (classical)perturbation response prediction

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