Similarity metric learning on perturbational datasets improves functional identification of perturbations
Benjamin Dominik Maier · 2023
Weak supervision - Strong results! Smith and colleagues introduce Perturbational Metric Learning (PeML), a weakly supervised similarity metric learning method to extract biological relationships from noisy high-throughput perturbational datasets