Dharani Thirumalaisamy

This paper introduces a Bayesian group factor analysis transfer learning framework that improves drug response prediction and tumor purity prediction across cancer datasets by modeling feature dependencies.

The paper introduces a method to evaluate segmentation performance in multiplex tissue imaging without ground truth labels by comparing segmentations from an ensemble of models.