Researchers from the University of Toronto Introduce scGPT: A Foundation Model for Single-Cell Biology based on Generative Pre-Trained Transformer Across a Repository of Over 33 Million Cells

Natural language processing and computer vision are only examples of the fields where generative pre-trained models have succeeded incredibly. In particular, a viable strategy for constructing foundation models is to combine varied large-scale datasets with pre-trained transformers. The study investigates the feasibility of foundation models to further research in cellular biology and genetics by drawing […]

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