singleR
简介
SingleR is an automatic annotation method for single-cell RNA sequencing (scRNAseq) data (Aran et al. 2019). Given a reference dataset of samples (single-cell or bulk) with known labels, it labels new cells from a test dataset based on similarity to the reference. Thus, the burden of manually interpreting clusters and defining marker genes only has to be done once, for the reference dataset, and this biological knowledge can be propagated to new datasets in an automated manner.
脚本
输入
任务名称 | 变量名称 | 类型 | 描述 |
---|---|---|---|
* run_singler.singler | ref | String | SingleR 系统自带的参考数据集 如 HumanPrimaryCellAtlasData,BlueprintEncodeData,ImmGenData,DatabaseImmuneCellExpressionData,NovershternHematopoieticData,MouseRNAseqData,MonacoImmuneData |
run_singler.singler | input_file | File | 需要注释的输入矩阵文件,支持h5ad,tsv.csv,rds 格式 |
run_singler.singler | custom_ref | File | 自定义数据集,rd格式 |
输出
任务名称 | 变量名称 | 类型 | 描述 |
---|---|---|---|
run_singler | heatmap | File | 输出热图结果 |
run_singler | result | File | 输出表格结果 |
run_singler | distri | File | 输出delta 分布图 |