ProFormer: generalizable classification of single-cell and plasma proteomes using deep learning

Researchers developed ProFormer, a deep-learning transformer model that classifies proteomic profiles from mass spectrometry data at single-cell and plasma levels. ProFormer outperforms traditional machine learning and CNNs in accuracy and generalization, enabling faster biomarker discovery and cell identity classification.