Jinzhi Lei

This paper develops a quantitative cancer-immunity cycle model to predict disease progression and survival in advanced metastatic colorectal cancer by integrating clinical data and virtual patient technology.

This study presents a hybrid model of stem cell differentiation driven by epigenetic modifications, showing how random inheritance of epigenetic states can induce cell differentiation, dedifferentiation, and transdifferentiation.

This paper introduces individual entropy as a macroscopic variable to quantify transcriptional dynamics in gene regulatory networks and shows its utility in characterizing transitions from order to disorder.

This paper develops a mathematical framework to model stem cell regeneration dynamics with heterogeneity and epigenetic state transitions, applicable to tissue development and tumor growth.

The paper introduces scEntropy to quantify cellular transcriptome order and uses scEGMM for unsupervised cell type classification from single-cell RNA-seq data.

This study introduces a competition motif model to analyze molecular competition's role in gene regulatory networks, revealing its impact on dose-response curves, response speed, noise, and target correlations.

The paper presents a mathematical model showing that stochastic histone modification inheritance during the cell cycle can induce spontaneous cell-type switches through gene regulation network dynamics.

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