Priya Ramarao-Milne

The paper evaluates AlphaGenome's cross-species performance on mouse data, showing varying accuracy for different functional tasks and introduces a confidence scoring method for AI predictions.

The paper introduces synerOmics, a machine learning framework to identify synergistic protein interactions, finding ATL3 as a biomarker for lapatinib resistance in breast cancer.

RFlocalfdr thresholds variable importance from Random Forests using an empirical Bayes approach, achieving high accuracy and speed for high-dimensional datasets.

The paper develops endometrial cancer PDX models that capture tumor heterogeneity and predict response to talazoparib.