Meichen Fang

The paper develops a biophysical model to jointly analyze single-cell RNA and protein data, demonstrating its utility with simulated and 10x multiomic data.

This paper proposes a model to normalize scRNA-seq data by distinguishing between biological and technical extrinsic noise, showing that extrinsic noise explains baseline overdispersion.

This paper introduces Chronocell, a method for trajectory inference using process time modeling, showing it can interpolate between trajectory inference and clustering and assess dataset suitability.

This paper shows that coupling in reaction networks can suppress noise below a previously established lower bound with moderate energy cost.