一、基本信息
孙建强，博士、米兰体育官网入口副教授，硕士生导师。近期研究兴趣为深度学习及其在生物医学数据分析中的应用，已在Biophysical Journal、 Briefings in Bioinformatics、Chaos, Solitons & Fractals、Methods等国内外知名学术期刊上发表论文10余篇。
研究方向:生物医学数据分析
邮箱:sunjianqiang@lyu.edu.cn
二、代表论著
（一）期刊论文
[1] Feiyue Sun, Jianqiang Sun, Qi Zhao*, A deep learning method for predicting metabolite-disease associations via graph neural network, Briefings in Bioinformatics, 2022, 23(4): bbac266.
[2] Wenya Wang, Li Zhang, Jianqiang Sun, Qi Zhao*, Jianwei Shuai*, Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field, Briefings in Bioinformatics, 2022, 23(6): bbac463.
[3] Jingxuan Zhao, Jianqiang Sun, Stella C Shuai, Qi Zhao*, Jianwei Shuai*, Predicting potential interactions between lncRNAs and proteins via combined graph auto- encoder methods, Briefings in Bioinformatics, 2022, DOI: 10.1093/bib/bbac527.
[4] Tianyi Wang, Jianqiang Sun, Qi Zhao*, Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism, Computers in Biology and Medicine, 2023, 153: 106464.
[5] Chenggui Yao, JianQiang Sun, Jun Jin, Jianwei Shuai, Xiang Li, Yuangen Yao, Xufan Xu, The power law statistics of the spiking timing in a neuronal network, Chaos, Solitons & Fractals, 2023, 172:113598.
[6] Liwei Liu, Yixin Wei, Zhebin Tan, Qi Zhang, Jianqiang Sun*, Qi Zhao*, Predicting circRNA-RBP Binding Sites Using a Hybrid Deep Neural Network. Interdisciplinary Sciences: Computational Life Sciences, 2024: 1-14.
