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Benchmarking atlas-level data integration in single-cell genomics - integration task datasets

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DataCite Commons2020-12-08 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Benchmarking_atlas-level_data_integration_in_single-cell_genomics_-_integration_task_datasets_Immune_and_pancreas_/12420968/6
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Pancreas, Lung atlas, human immune cell, and human and mouse immune cell integration tasks from the manuscript "Benchmarking atlas-level data integration in single-cell genomics". <br><br>These datasets were aggregated from public datasets, cell annotations were harmonized or reannotated, and the data was consistently preprocessed using scran pooling and log+1 transformation. In the immune cell datasets an erythrocyte development trajectory was also annotated. Details on dataset preprocessing can be found in the paper and in the accompanying Github at https://www.github.com/theislab/scib.<br><br>Please cite the paper and the papers the individual datasets were aggregated from when using this data.<br>

本数据集包含来自论文《单细胞基因组学中图谱级数据整合的基准测试》(Benchmarking atlas-level data integration in single-cell genomics)的胰腺图谱、肺图谱、人类免疫细胞整合以及人类与小鼠免疫细胞整合任务。<br><br>本数据集集合源自公开数据集,其中细胞注释已完成统一或重新注释,且所有数据均采用scran池化(scran pooling)与log+1转换完成统一预处理。在免疫细胞数据集内,还额外注释了红细胞发育轨迹。数据集预处理的详细信息可参阅该论文及配套的GitHub仓库:https://www.github.com/theislab/scib。<br><br>使用本数据集时,请引用该论文及所整合的各原始数据集对应的原论文。
提供机构:
figshare
创建时间:
2020-12-07
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