staahl2016visualization_ST_BreastCancer_Layer

staahl2016visualization_ST_BreastCancer_Layer are spatial transcriptomics datasets of mouse olfactory bulb and human breast cancer, published with the paper presenting spatial transcriptomics (ST) technology4. It was generated by ST, that allows visualization and quantitative analysis of the transcriptome with spatial resolution in individual tissue sections. The staahl2016visualization_ST_BreastCancer_Layer dataset contains 4 sub-dataset with ~14000 genes expression features for 4 human breast cancer layers, which has 254 (Layer1), 251 (Layer2), 264 (Layer3) and 262 (Layer4) spots, respectively. The datasets was downloaded from https://www.spatialresearch.org/resources-published-datasets/, containing H&E images, spot-wise region annotation and count matrix of each sub-dataset, as well as other spatial transcriptomics resource published datasets.staahl2016visualization_ST_BreastCancer_Layer 是针对小鼠嗅球与人类乳腺癌的空间转录组（spatial transcriptomics, ST）数据集，与介绍空间转录组技术的论文4同步发布。该数据集由ST技术生成，可在单个组织切片中实现具备空间分辨率的转录组可视化与定量分析。staahl2016visualization_ST_BreastCancer_Layer 数据集包含4个子数据集，对应4个人类乳腺癌组织层，每个子数据集均包含约14000个基因的表达特征，其斑点数量分别为254（Layer1）、251（Layer2）、264（Layer3）与262（Layer4）。该数据集下载自https://www.spatialresearch.org/resources-published-datasets/，每个子数据集均包含苏木精-伊红（H&E）染色图像、斑点级区域注释与计数矩阵，同时收录了其他已发表的空间转录组相关数据集资源。