Computational causal inference methods and single cell proteomics enable the estimation of interventions from purely observational experiments


This talk explored the integration of new single cell MS-based proteomics methods and causal inference. We argued that single cell MS-based proteomics enables estimating the effect of perturbations from observational studies. These methods were shown on a simulation and real world single cell experiment.

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