| Literature DB >> 31294801 |
Frédéric Pont1,2,3,4,5,6,7, Marie Tosolini1,2,3,4,5,6,7, Jean J Fournié1,2,3,4,5,6,7.
Abstract
The momentum of scRNA-seq datasets prompts for simple and powerful tools exploring their meaningful signatures. Here we present Single-Cell_Signature_Explorer (https://sites.google.com/site/fredsoftwares/products/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.Entities:
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Year: 2019 PMID: 31294801 PMCID: PMC6868346 DOI: 10.1093/nar/gkz601
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971