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 |
---|---|
Kidney disease | Deep learning |
Cross species | Bioinformatics |
Immunotherapy |
Publication
2025:
- 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