Single-cell Sequencing Data: Critical Analysis and Definition of Statistical Models

Abstract

In the past decade, advances in single-cell RNA sequencing technologies have radically improved the comprehension of cell biology. Pseudo-time computation has revealed greater heterogeneity in cell differentiation, which is important for the study of various diseases. In this paper we evaluate pseudo-time calculation methodologies and propose statistical models for analyzing the relationship between pseudo-time and gene expression.