Zhang Lab

Main research focuses on developing computational and statistical methods to uncover the underlying principles of the multi-step and tightly coordinated gene regulation process and understand how genetic variations can result in phenotypic changes and even diseases

Research on scRNA sequencing 

PCA on Highly Variable Features 

Performed Principal Component Analysis (PCA) for dimensionality reduction 

Louvain and Leiden algorithms to cluster data 

creates a mathematical score called modularity, which measures how densely connected nodes are within a cluster compared to how they are connected to the rest of the network