Single-Cell Signature Explorer for comprehensive visualization of single cell signatures across scRNA-seq data sets

Abstract

The momentum of scRNA-seq data sets 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 high throughput scoring at single cell level of any gene set-based signature and visualization across t-SNE. By scanning data sets for single or combined signatures, it quantitatively and qualitatively maps any multi-gene feature, exemplified here with signatures of cell lineages, biological hallmarks and metabolic pathways in large scRNAseq datasets of human PBMC, lung cancer and adult testis.