Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets.

08:00 EDT 11th July 2019 | BioPortfolio

Summary of "Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets."

The momentum of scRNA-seq datasets prompts for simple and powerful tools exploring their meaningful signatures. Here we present Single-Cell_Signature_Explorer (, the first method for qualitative and high-throughput scoring of any gene set-based signature at the single cell level and its visualization using t-SNE or UMAP. By scanning datasets for single or combined signatures, it rapidly maps any multi-gene feature, exemplified here with signatures of cell lineages, biological hallmarks and metabolic pathways in large scRNAseq datasets of human PBMC, melanoma, lung cancer and adult testis.


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This article was published in the following journal.

Name: Nucleic acids research
ISSN: 1362-4962


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