张鹏
博士 副研究员 硕士生导师
生物医学大数据中心
研究方向：计算生物学
电子邮件(E-mail)：zhangpeng@sinh.ac.cn
研究方向：计算生物学
电子邮件(E-mail)：zhangpeng@sinh.ac.cn
简历
2023-至 今：中国科学院上海营养与健康研究所 副研究员
2020-2023年：上海交通大学电子信息与电气工程学院 博士后
2013-2020年：同济大学生命科学与技术学院 博士
2009-2013年：合肥工业大学生物与食品工程学院 学士
研究内容
针对海量、复杂、高维生物医学大数据，应用多种人工智能技术研究微生物基因组学及药物研发领域重要问题。
1. 海量病原体基因组数据快速溯源、预警和分析；
2. 结核分枝杆菌早期耐药诊断及耐药标记物鉴定研究；
3. 协同性药物组合预测深度学习模型开发和分析。
代表性论文(* 通讯作者）
- Peng Zhang#, Shikui Tu*. MGAE-DC: predicting the synergistic effects of drug combinations through multi-channel graph autoencoders. PLOS Computational Biology 2023;19(3):e1010951
- Peng Zhang#, Shikui Tu*, Wen Zhang and Lei Xu. Predicting cell line-specific synergistic drug combinations through a relational graph convolutional network with attention mechanism. Briefings in Bioinformatics 2022;23(6):bbac403
- Peng Zhang#, Xiao-Ou Zhang#, Tingting Jiang, Lingling Cai, Xiao Huang, Qi Liu, Dan Li, Aiping Lu, Yan Liu, Wen Xue, Peng Zhang*, Zhiping Weng*. Comprehensive identification of alternative back-splicing in human tissue transcriptomes. Nucleic Acids Research 2020;48(4):1779-1789
- Peng Zhang#, Shikui Tu*. DeepBSI: a multimodal deep learning framework for predicting the transcription factor binding site and intensity. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- Peng Zhang#, Shikui Tu*. A knowledge graph embedding-based method for predicting the synergistic effects of drug combinations. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- Yilin Zou#, Peng Zhang#, Yunchao Ling, Daqing Lv, Ziming Li, Shun Lu, Guoqing Zhang*. A domain adaptive pre-training language model for sentence classification of Chinese electronic medical record. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
- Xuetong Kong#, Peng Zhang#, Yunchao Ling, Daqing Lv, Jun Xu, Guoqing Zhang*. A dual-channel deep learning approach to continuous prediction of acute kidney injury in the intensive care unit. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)