Library size confounds biology in spatial transcriptomics data

This dataset contains annotated sub-cellular localised spatial measurements from the Visium, Xenium and CosMx platforms. Specifically, it includes datasets analysed in the publication Bhuva et. al, 2023 titled "Library size confounds biology in spatial transcriptomics data". Raw transcript detections are presented. Data is best accessed through the accompanying SubcellularSpatialData R/Bioconductor package. Region files used to annotate individual transcript detections are presented in the form of GeoJSON files.本数据集包含来自Visium、Xenium及CosMx平台的带注释亚细胞定位空间测量数据。具体而言，其涵盖Bhuva等人2023年发表的题为《空间转录组学数据中，文库大小对生物学信号的混杂作用》的论文所分析的数据集。本数据集提供原始转录本检测结果，最佳获取途径为通过配套的SubcellularSpatialData R/Bioconductor软件包。用于注释单条转录本检测结果的区域文件以GeoJSON格式提供。