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A research team at Toronto General Hospital Research Institute (TGHRI) has developed an artificial intelligence (AI) learning model to understand complex biological interactions from large-scale datasets of the analysis of single cells. The model, called scGPT, has been trained on over 33 million cells from different tissues and conditions and has learned to understand patterns in gene expression and cell behavior. It is effective for tasks such as identifying cell types, predicting gene activity in cells, and correcting batch effect errors in sequencing data. The release of scGPT models and workflows is expected to accelerate research in cellular biology and beyond, offering a standardized approach for analyzing single-cell omics. The researchers hope to make the model smarter and better at understanding how cells work in different situations, paving the way for innovative therapeutic strategies and deepening the understanding of cellular processes. Since its release, scGPT has significantly impacted the field, with over 13,000 installations and 55 citations before its official publication.
