Due to the huge volume of raw sequencing data, CancerSCEM didn't provide the download
of raw reads, but provided the corresponding download link to the original database
(see 'Original Metadata').
Here, to meet the needs of user for downstream
personalized analysis, the normalized gene expression matrix for each cancer
single-cell RNA-seq dataset could be downloaded in a standard format (.tsv).
Project ID | Sample ID | Original Metadata | Expression Matrix | Update Data |
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No matching records found |
For each cancer single-cell sample, we provided the detailed statistics of the subtypes of immune cells and other cell types. For each subtype, the differential expression gene list was also provided for download, user can use it to do some personalized analysis.
Project ID | Sample ID | Cell Components | DEGs for All Celltypes | Update Data |
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No matching records found |
CancerSCEM has collected hundreds of functional molecules including receptor genes, ligand genes, oncogenes and tumor suppressor genes from numerous data sources like CelltalkDB, SingleCellSingalR, Cellinker, Cell-Cell Interaction Database, Cancer Gene Census, OncoKB, Network of Cancer Genes, TSGene, IntOGene, etc. The general analysis page only displayed the expression of those genes supported by three or more sources, while the complete gene lists were available for download.
Functional Genes | Gene List | Update Data |
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No matching records found |
The calculated results from CellphoneDB were provided for downloading. It mainly included three important files: 1) the file 'means.txt' represented the total average expression of each ligand-receptor pair in each cell-type pair; 2) 'pvalues.txt' meant the enrichment significance of each ligand-receptor pair in each cell-type pair; 3) 'count_network.txt' was the final count evaluation of interaction network for the given sample.
Project ID | Sample ID | CellphoneDB Output | Update Data |
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No matching records found |