Publications
Sorted by domains and years.
Methods in Statistical Genetics and Genomics
Sun, J., Dong Q., Wei, J., Gao, Y., Yu, Z., Hu, X.*, Zhang, Y.* ti-scMR: Trajectory-inference-based dynamic single-cell Mendelian randomization identifies causal genes underlying phenotypic differences. Under Review.
CodesSun, J., Zhou, J., Gong, Y., Pang, C., Ma, Y., Zhao, J., Yu, Z.*, & Zhang, Y.* (2024). Bayesian network-based Mendelian randomization for variant prioritization and phenotypic causal inference. Human Genetics, 143(9-10), 1081–1094.
Paper | PDF | Supplementary materials | R packageGong, Y., Xu, J., Wu, M., Gao, R., Sun, J., Yu, Z.*, & Zhang, Y.* (2024). Single-Cell Biclustering for Cell-Specific Transcriptomic Perturbation Detection in AD Progression. Cell Reports Methods, 4(4), 100742.
Paper | PDF | Python packageSun, J., Lyu, R., Deng, L., Li, Q., Zhao, Y.*, & Zhang, Y.* (2022). SMetABF: A rapid algorithm for Bayesian GWAS meta-analysis with a large number of studies included. PLOS Computational Biology, 18(3), e1009948.
Paper | PDF | R package | Online toolLyu, R., Sun, J., Xu, D., Jiang, Q., Wei, C.*, & Zhang, Y.* (2021). GESLM algorithm for detecting causal SNPs in GWAS with multiple phenotypes. Briefings in Bioinformatics, 22(6), bbab276.
Paper | PDF | R packageZhou, Y., Fa, B., Wei, T., Sun, J., Yu, Z.*, & Zhang, Y.* (2021). Elastic Correlation Adjusted Regression (ECAR) scores for high dimensional variable importance measuring. Scientific Reports, 11(1), 23354.
Paper | PDF
Causal Inference and Machine Learning
- Dai, H., Ng, I., Sun, J., Tang, Z, Luo, G., Dong, X., Spirtes, P.*, Zhang, K.* (2025) When Selection meets Intervention: Additional Complexities in Causal Discovery. The Thirteenth International Conference on Learning Representations (ICLR), (Oral).
Epidemiology
Sun, J., Deng, L., Li, Q., Zhou, J., & Zhang, Y.* (2024). Dynamic relations between longitudinal morphological, behavioral, and emotional indicators and cognitive impairment: evidence from the Chinese Longitudinal Healthy Longevity Survey. BMC Public Health, 24(1), 3516.
Paper | PDF | Supplementary materials | CodesSun, J., Deng, L., Zhu, H., Liu, M., Lyu, R., Lai, Q.*, & Zhang, Y.* (2021). Meta-analysis on the association between rs11868035, rs823144, rs3851179 and Parkinson’s disease. Meta Gene, 30, 100949.
Foundation Models in Biology
Liang, C.#, Ye, P.#, Yan, H.#, Zheng, P#, Sun, J., Wang, Y., Li, Y., Ren, Y., Jiang, Y., Xiang, J., Zhang, S., Jiang, L., Bai, W., Ma, X., Chen, T., Zuo, W.*, Bai, L.*, Ouyang, W.*, Li, J.* (2025). scWGBS-GPT: A Foundation Model for Capturing Long-Range CpG Dependencies in Single-Cell Whole-Genome Bisulfite Sequencing to Enhance Epigenetic Analysis. bioRxiv.
bioRxivYe, P.#, Bai, W.#, Ren, Y.#, Li, W.#, Qiao, L., Liang, C., Wang, L., Cai, Y., Sun, J., Yang, Z., Zheng, P., Dong, N., Chen, T., Wang, Z., Liu, X., Ma, X.*, Yan, H.*, Wang, Z.*, Wang, S.* & Ouyang, W. (2024). Genomics-FM: Universal Foundation Model for Versatile and Data-Efficient Functional Genomic Analysis. bioRxiv.
bioRxiv | ReviewLiang, C.#, Qiao, L.#, Ye, P.#, Dong, N., Sun, J., Bai, W., Ren, Y., Ma, X.*, Yan, H.*, Song, C.*, Ouyang, W.*, & Zuo, W.* (2023). Toward Understanding BERT-Like Pre-Training for DNA Foundation Models. arXiv.
arXiv
You can also find my articles on Google Scholars, ResearchGate or ORCID.