About Me
Hi, this is Weidong Wu. I am a PhD student at the Department of Biomedical Informatics at The Ohio State University(OSU). My primary research interests revolve around single cell and Deep Learning for Life Science.
Areas of Focusing
| Biology | Computational |
|---|---|
| Neuroscience | Deep learning |
| Cross species | Bioinformatics |
| Kidney | Software development |
Publication
2025:
- Wang, Y., Ma, A., Song, N.J., Shannon, A.E., Amankwah, Y.S., Chen, X., Wu, W., Wang, Z., Saadey, A.A., Yousif, A. and Ghosh, G., 2025. Proteotoxic stress response drives T cell exhaustion and immune evasion. Nature, pp.1-11.
- Miller, S.J., Zhong, H., Wu, W., Cordova, A.M., Smith, M.E., Yashchenko, A., Li, Z., Jafree, D.J., Zimmerman, C.N., DeVette, C.I. and Do, V., 2025. A cross model spatial and single-cell atlas reveals the conserved involvement of osteopontin in polycystic kidney disease. bioRxiv, pp.2025-09.
- Dong, H., Liang, C., Zhang, J., Wu, W., Kumar, N., Liu, Z., Sun, Y., Liao, Z., Cheng, X., Yu, Y. et al., 2025. O-GlcNAc transferase plays dual antiviral roles by integrating innate immunity and lipid metabolism. Nature Communications, 16, pp.1-14.
- Wu, W.#, Liu, B.#, Zhang, Q.#, Zhang, X., Feng, P., Jia, Y. and Xue, X., 2025. Heterogeneity and efficacy of immunotherapy in multiple cancer: insights from a meta-analysis. Biological Procedures Online, 27(1), pp.1-14.
- Wang, X., Duan, M., Su, P.L., Li, J., Krull, J., Jin, J., Chen, H., Sun, Y., Wu, W., He, K. and Carpenter, R., 2025. Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer. bioRxiv, pp.2025-05.
2024:
- Jiang, Y., Wang, S., Feng, S., Wang, C., Wu, W., Huang, X., Ma, Q., Wang, J. and Ma, A., 2024. scGNN+: Adapting ChatGPT for Seamless Tutorial and Code Optimization. bioRxiv, pp.2024-09.
2019-2023:
- Si, Y.#, **Wu, W. #** Xue, X., Sun, X., Qin, Y., Li, Y., Qiu, C., Li, Y., Zhuo, Z., Mi, Y. and Zheng, P., 2023. The evolution of SARS-CoV-2 and the COVID-19 pandemic. PeerJ, 11, p.e15990.
- Wu, W., Wang, Y., Xu, S. and Yan, K., 2020, September. Sfnn: Semantic features fusion neural network for multimodal sentiment analysis. In 2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE) (pp. 661-665). IEEE.
- Ye, S., Li, C., Zhao, R. and Wu, W., 2019. NOAA-LSTM: A new method of dialect identification. In Artificial Intelligence and Security: 5th International Conference, ICAIS 2019, New York, NY, USA, July 26-28, 2019, Proceedings, Part I 5 (pp. 16-26). Springer International Publishing.
Services
- Journal reviewer: Heliyon