Understanding the complex mix of cell types in tissues is a major challenge in biology, especially when working with single-cell RNA sequencing (scRNA-seq) data. This type of data gives scientists detailed insight into gene expression at the single-cell level, but analyzing it is no easy task. One of the toughest parts is figuring out …
scTrans – sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data
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