Single-cell and spatial transcriptomics datasets used for BISECTION analysis

This record contains the datasets, annotations, and benchmark files used in the BISECTION study, which develops a biologically informed framework for clustering and functional annotation in single-cell and spatial transcriptomics. The package includes the benchmark scRNA-seq datasets used for clustering and cell-type annotation evaluation, the pancreatic endocrine development dataset used for trajectory analysis, and the human breast cancer Visium dataset used for spatial transcriptomics analysis. All original data were obtained from public repositories, including GEO, SRA, and the 10x Genomics data portal, and the corresponding source accessions are documented in the accompanying README file. This Zenodo record is intended to support reproducibility and provide a convenient access point for the data used in the study.