Honglei Ren

The paper introduces NeuronChat, a tool for inferring neuron-neuron communication networks from single-cell transcriptomics data, validated on human and mouse datasets and applied to autism spectrum disorder.

The paper uses statistical and stochastic modeling to analyze Repli-BS data from human embryonic stem cells, revealing kinetic heterogeneity in post-replication DNA methylation.

The paper develops a method to analyze single-cell gene-pair coexpression patterns using stochastic kinetic modeling, revealing gene-pair interactions during embryonic development.

The paper constructs a kinetic model of DNA methylation incorporating collaborations between CpG sites and identifies three sources of correlation using experimental data.