An elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data
This repository contains an implementation of the TSEE algorithm described in "TSEE: an elastic embedding method to visualize the dynamic gene expression patterns of time series single-cell RNA sequencing data". TSEE is a nonliner dimensionality reduction and visualization algorithm designed to handle time series high-dimensional data. It incorporates temporal information of each sample with the high-dimensional data. We applied TSES to time series single-cell RNA-sequencing data, demonstrating its superiority in preserving both the local and global topological structure hidden in high-dimensional data while maintaning the temoporal structure and order based on the addition temporal information.