A confound-diagnostic toolkit for in silico perturbation with single-cell foundation models
A reusable confound-diagnostic framework is developed that applies matched controls to test whether native perturbation readouts contain information beyond these confounds and warrant biological interpretation, and helps determine when foundation-model perturbation readouts warrant biological interpretation.