Identifying progressive gene network perturbation from single-cell RNA-seq data

摘要: Identifying the gene regulatory networks that control development or disease is one of most important problems in biology. Here, we introduce a computational approach, called PIPER (ProgressIve network PERturbation), to identify perturbed genes drive differences across different points biological progression. employs algorithms tailor-made for single cell RNA sequencing (scRNA-seq) data jointly multiple progressive conditions. It then performs differential analysis along identified master regulators. We demonstrate outperforms state-of-the-art alternative methods on simulated and able predict known key regulators differentiation real scRNA-Seq datasets.