GSE107651
Unsupervised clustering and epigenetic classification of single cells
96 scATAC-seq samples generated for the retinoic acid-induced mESC differentiation at day 4. Overall design: We present a method that solely utilizes scATAC-seq data for the unsupervised clustering of cells and determination of cluster-specific open regions. The proposed procedure allows for the discovery of open chromatin regions specific to cell identity and the identification of transcription factors that drive the variation in cell identity.