Integrating molecular biology & bioinformatics for translational precision oncology.
This site provides access to our published datasets and web-based analysis tools.
01 / Data
Downloadable dataset packages associated with our published studies.
A comprehensive single-cell transcriptomic atlas of human prostate cancer, comprising 111,914 cells profiled from 27 clinical specimens. This resource captures the cellular heterogeneity of tumor epithelial cells and the tumor microenvironment — including immune, stromal, fibroblast, and endothelial populations — and enables exploration of cell-state dynamics, tumor progression programs, and intercellular communication networks.
02 / Tools
Web-based platforms for biomedical data analysis and model prediction, deployed as independent services.
TMEformer is a tumor microenvironment–aware foundation model that integrates spatial transcriptomics and deep learning to model interactions between tumor cells and their surrounding cellular ecosystem. The platform enables in silico perturbation analyses of both tumor-intrinsic genes and microenvironmental factors, facilitating the discovery of regulatory dependencies underlying cancer progression, therapy resistance, and cellular plasticity.
03 / About
Our research centers on cancer transcriptomic heterogeneity and transcriptional regulation. Using high-throughput sequencing technologies, we investigate the molecular mechanisms driving tumor heterogeneity, uncover dysregulated transcriptional regulatory networks, and explore novel therapeutic strategies for precision oncology.
