Single-cell RNA sequencing (scRNA-seq) has become a cornerstone tool in modern biology, allowing researchers to examine gene expression at the individual cell level. This powerful technique uncovers the vast diversity of cell types and states that exist within tissues, helping scientists understand biological processes in much greater detail. However, accurately classifying these cells and …
scGraphformer – unveiling cellular heterogeneity and interactions in scRNA-seq data using a scalable graph transformer network
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