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