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` 是包含小鼠嗅球与人类乳腺癌样本的空间转录组（spatial transcriptomics, ST）数据集，随介绍空间转录组（ST）技术的论文4同步发布。该数据集依托ST技术生成，可实现单组织切片内具有空间分辨率的转录组可视化与定量分析。`staahl2016visualization_ST_BreastCancer_Layer` 数据集共包含4个子数据集，覆盖4个人类乳腺癌分层样本的约14000个基因表达特征，各子数据集分别包含254（Layer1）、251（Layer2）、264（Layer3）及262（Layer4）个空间斑点。该数据集下载自https://www.spatialresearch.org/resources-published-datasets/，每个子数据集均配有苏木精-伊红（H&E）染色图像、斑点级区域注释信息与基因计数矩阵，同时收录了其他已发表的空间转录组相关数据集资源。