Meichen Fang

Joint Biophysical Modeling of Paired Single-Cell RNA and Protein Measurements

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

Extrinsic biological stochasticity and technical noise normalization of single-cell RNA sequencing 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.

Trajectory inference from single-cell genomics data with a process time model

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.

Coupled Reaction Networks for Noise Suppression

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