10x-hBC-A1
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/YihDu/SLAM
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资源简介：
该数据集旨在通过应用无监督方法对复杂的乳腺癌组织切片进行标注，以此来评估SLAM技术的有效性。此外，该数据集还是利用真实空间聚类方法对SLAM进行评估的一部分内容。其采用的尺度为10倍Visium，任务是对空间转录组学中的空间标注结果进行评估。
This dataset is developed to annotate complex breast cancer tissue sections via unsupervised learning methods, thereby evaluating the effectiveness of the SLAM technique. Additionally, this dataset serves as a component of the assessment of SLAM using ground-truth spatial clustering approaches. It employs the 10× Visium platform, and its designated task is to evaluate spatial annotation results in spatial transcriptomics.
提供机构：
10x Genomics
