singleR
Introduction
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.
Script
Input
Task name | Attribute name | Type | Description |
---|---|---|---|
* run_singler.singler | ref | String | Reference dataset recommended by singleR.such as HumanPrimaryCellAtlasData,BlueprintEncodeData,ImmGenData,DatabaseImmuneCellExpressionData,NovershternHematopoieticData,MouseRNAseqData,MonacoImmuneData |
run_singler.singler | input_file | File | Input matrix file to be annotated, support h5AD, TSV. CSV, RDS format |
run_singler.singler | custom_ref | File | custom datatset,RDS format |
Output
Task name | Attribute name | Type | Description |
---|---|---|---|
run_singler | heatmap | File | output heatmap figure |
run_singler | result | File | output csv |
run_singler | distri | File | output delta distribution figure |