scRNA-seq
Gene Name
Sample Name
Leiden resolution
Reference
scRNA-seq
Notes
For marker genes by leiden, we select the top 5 highly expressed genes (i.e. marker genes) of each cluster to display in heatmap. The highly expressed genes of each cluster were identified by comparing the expression of genes in one cluster with all the other clusters, and ranked by scores calculated with scanpy. The CSV files contains a full list of marker genes for each cluster, and the p-values in the CSV files were calculated using the Wilcoxon rank-sum (Mann-Whitney-U) test method.
genename | leiden | pvals | scores |
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Notes
For marker genes by cell type, we select the top 5 highly expressed genes (i.e. marker genes) of each cluster to display in heatmap. After SingleR annotation, the highly expressed genes of each cell type were identified by comparing the expression of genes in one cell type with all the other cell types, and ranked by adjusted p-value. The CSV files contains a full list of marker genes for each cell type, and the p-values in the CSV files were calculated using the Wilcoxon rank-sum (Mann-Whitney-U) test method.
genename | pvals | pval_adj | celltype |
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