ATAC+RNA mouse brain (clustered)

Processed dataset from Zhang et al., 2023 of spatial chromatin accessibility (ATAC) and spatial transcriptomics (RNA) measurement of mouse brain section. Cells are clustered based on their cellular niches (also known as spatial domains or spatial clusters) using CellCharter.The data is divided into:data dimensionality-reduced using scVI for ATAC and RNA independently with respective anndata object inside.clustering models from CellCharter for ATAC, RNA, and both of them together.

本数据集源自Zhang等人2023年的研究，为经预处理的小鼠脑切片空间染色质可及性（ATAC）与空间转录组（RNA）测量数据集。研究团队基于细胞微环境（亦可称为空间域或空间簇），使用CellCharter工具对细胞完成聚类。该数据集分为两类：其一为分别采用scVI对ATAC与RNA数据独立进行降维处理，且各自包含对应anndata对象的数据集；其二为CellCharter针对ATAC数据、RNA数据以及二者联合构建的聚类模型。