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About Us

Address

School of Information Science,
ShanghaiTech University,
No.393 Huaxia Middle Road PuDong District,
Shanghai 201210, China.

Email

zhengjie@shanghaitech.edu.cn

  1. Zhang, K., Feng, Y., & Zheng, J. (2024, May). Prompt-based Generation of Natural Language Explanations of Synthetic Lethality for Cancer Drug Discovery. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 13131-13142).

  2. Liu, X., Hu, J., & Zheng, J. (2024). SL-Miner: a web server for mining evidence and prioritization of cancer-specific synthetic lethality. Bioinformatics, 40(2), btae016.

  3. Liu, X., Tao, S., & Zheng, J. (2023, December). Meta Learning for Low-Data Prediction of Cancer-Specific Synthetic Lethality as Drug Targets. In 2023 IEEE International Conference on Knowledge Graph (ICKG) (pp. 255-262). IEEE.

  4. Zhang, K., Wu, M., Liu, Y., Feng, Y., & Zheng, J. (2023). KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality. Bioinformatics, 39(Supplement_1), i158-i167.

  5. Wang, S., Feng, Y., Liu, X., Liu, Y., Wu, M., & Zheng, J. (2022). NSF4SL: negative-sample-free contrastive learning for ranking synthetic lethal partner genes in human cancers. Bioinformatics, 38(Supplement_2), ii13-ii19.

  6. Liu, X., Yu, J., Tao, S., Yang, B., Wang, S., Wang, L., ... & Zheng, J. (2022). PiLSL: pairwise interaction learning-based graph neural network for synthetic lethality prediction in human cancers. Bioinformatics, 38(Supplement_2), ii106-ii112.

  7. Wang, J., Wu, M., Huang, X., Wang, L., Zhang, S., Liu, H., & Zheng, J. (2022). SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery. Database, 2022, baac030.

  8. Long, Y., Wu, M., Liu, Y., Zheng, J., Kwoh, C. K., Luo, J., & Li, X. (2021). Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinformatics, 37(16), 2432-2440.

  9. Lai, M., Chen, G., Yang, H., Yang, J., Jiang, Z., Wu, M., & Zheng, J. (2021, November). Predicting synthetic lethality in human cancers via multi-graph ensemble neural network. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1731-1734). IEEE.

  10. Wang, S., Xu, F., Li, Y., Wang, J., Zhang, K., Liu, Y., ... & Zheng, J. (2021). KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers. Bioinformatics, 37(Supplement_1), i418-i425.

  11. Liu, Y., Wu, M., Liu, C., Li, X. L., & Zheng, J. (2019). SL2MF: predicting synthetic lethality in human cancers via logistic matrix factorization. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(3), 748-757.

  12. Zhang, F., Wu, M., Li, X. J., Li, X. L., Kwoh, C. K., & Zheng, J. (2015). Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates. Journal of Bioinformatics and Computational Biology, 13(03), 1541002.

  13. Guo, J., Liu, H., & Zheng, J. (2015). SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets. Nucleic Acids Research, gkv1108.

  14. Li, X. J., Mishra, S. K., Wu, M., Zhang, F., & Zheng, J. (2014). Syn-lethality: an integrative knowledge base of synthetic lethality towards discovery of selective anticancer therapies. BioMed Research International, 2014.

  15. Wu, M., Li, X., Zhang, F., Li, X., Kwoh, C. K., & Zheng, J. (2014). In Silico Prediction of Synthetic Lethality by Meta-Analysis of Genetic Interactions, Functions, and Pathways in Yeast and Human Cancer. Cancer Informatics, 13(Suppl 3), 71.