Journal
NUCLEIC ACIDS RESEARCH
Volume 47, Issue 21, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkz601
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Funding
- Centre National de la Recherche Scientifique
- Universite de Toulouse
- Institut National de laSante et de la Recherche Medicale
- Labex Toucan 2
- INSERM
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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.
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