Single-cell RNA sequencing (scRNA-seq) is a powerful tool for understanding the diversity of cells in the body. However, analyzing the vast amount of data generated from these experiments can be difficult, especially when dealing with datasets that lack clear labeling. Researchers at Peking University have developed scExtract, an innovative tool that uses artificial intelligence …
scExtract: leveraging large language models for fully automated single-cell RNA-seq data annotation and prior-informed multi-dataset integration
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