Single cell mass spectrometry (MS)-based proteomics coupled with suitable experimental design enables the application of causal inference methods to observational experiments.
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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.