Uri Shaham

This paper proposes a deep learning method to remove batch effects from biological data, preserving true biological patterns and showing good performance on new test data.

The paper introduces DeepCyTOF, a deep learning method for automating cell gating in mass cytometry data, achieving high concordance with manual gating and performing well on benchmark challenges.

The paper develops a method to detect co-mutated pathways in cancer samples and identifies enriched pathway pairs across six cancer types, suggesting potential mechanisms for immune evasion.