Ethan Cohen

Large Scale Cell Painting Guided Compound Selection Reveals Activity Cliffs and Functional Relationships

This paper introduces a transfer learning method for compound preselection using phenotypic profiling, revealing activity cliffs and functional relationships across 112,480 compounds.

Cross-modal Graph Contrastive Learning with Cellular Images

The paper proposes a cross-modal graph contrastive learning method that uses cellular images to improve molecular representation learning for downstream tasks.

Revealing invisible cell phenotypes with conditional generative modeling

This paper uses conditional generative models to transform cell images between conditions, revealing hidden phenotypes by removing natural cell variability.

Cell Painting transfer increases screening hit rate

The paper uses Cell Painting images to preselect compounds for drug screening, significantly increasing hit rates by reducing the number of compounds tested.