How to use
This is the web-application version of SingleCellNet. To run SingleCellNet locally through R, visit our Github. To use the singleCellNet webapp, first upload the single-cell RNA-seq expression profiles or Seurat object in the sidebar on the left.
Optionally, you can upload a sample table with cluster assignment, UMAP coordinates to aid with analysis. The uploading format can be ".rda" (preferred) or ".csv/txt". If you upload Seurat object, there is no need to reupload sample table, the sample table would be automatically extracted.
After the upload of single-cell RNA-seq expression profiles, you can follow the flow charts.


General Classification Heatmap
Select the cell type and visualize its selected feature genes to construct the classifier.

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There are NAs in the column you selected. Some of the violin plots may not work properly. Please remove the NAs if possible.
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The violin plots identify the distribution of SCN scroes across cell types for a pre-defined cluster/group (shown below). If you want to use this function, please upload a sample table that map cells to a cluster or group in the side bar (left) and classify again.
Press the button to calculate UMAP coordinates

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Choose to either plot pre-defined UMAP coordinates in the sample table or recalculate UMAP coordinates.

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There are NAs in the column you selected. Proportion plot may not work. Please remove the NAs if possible.
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The proportion plots identify the percentage of cells across cell types for a pre-defined cluster/group (shown below). If you want to use this function, please upload a sample table that map cells to a cluster or group in the side bar (left) and classify again.
Please select the gastrulation classifier to compare gastrulation cell type classification with manuscript results
Comparsion with the results from Tan et al, 2021
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