SingleR
Matrix file
Click to select or drag file here.
Cell label file
Click to select or drag file here.
Dataset
Tissue section
Introduction
We used singleR to map user cell tags back to the spatial transcriptome to see the distribution of cell tags in the spatial transcriptome data，Although spatially resolved transcriptomics technologies such as ST and Visium in diverse tissue types and diseases have revealed fine-scale cellular spatial, but the primary technological limitation of ST and Visium is the lack of single-cell resolution and capturing 5-10 cells per spot, for most tissue cells, it is more likely that the same type of cells are distributed around the same area.
Count Matrix
Cell Annation
Reference
Spatial transcriptome
Embedding png
Label distribution
Important note
Please ensure that the gene name of the submission matrix is the same as the gene of the spatial transcriptome.
File size: a maximum of 50 Mb
File extension: tsv, csv or gz
Matrix file: File format: (column should be separated by tab), different rows correspond to different genes; different columns correspond to different cells.
Cell label file: The first column is cells and the second column is annotations.