Xiaoqiang Sun

Modeling spatial intercellular communication and multilayer signaling regulations using stMLnet

This paper introduces stMLnet, a method for inferring spatial intercellular communication and multilayer signaling regulations using spatial transcriptomics data, showing its effectiveness across multiple datasets and technologies.

Inferring latent temporal progression and regulatory networks from cross-sectional transcriptomic data of cancer samples

This paper introduces PROB, a Bayesian method to infer gene regulatory networks from cross-sectional cancer transcriptomic data by decoding latent temporal progression, outperforming existing methods in pseudotime and GRN inference.

Gene regulatory network analysis identifies key genes and regulatory mechanisms involved in acute myocardial infarction using bulk and single cell RNA-seq data

This study identifies key genes and regulatory mechanisms in acute myocardial infarction using bulk and single-cell RNA-seq data, highlighting PLAUR's role in inter-cellular signaling.

Multi-scale modeling reveals angiogenesis-induced drug resistance in brain tumor and predicts a synergistic drug combination targeting EGFR and VEGFR pathways

This study develops a multiscale model to simulate vascular tumor growth and drug response, revealing angiogenesis-induced drug resistance and predicting a synergistic drug combination targeting EGFR and VEGFR pathways.