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个人简介

1. 2006/09-2010/01,复旦大学,计算软件与理论,博士 2. 2002/09-2004/07,南京大学,计算软件与理论,硕士 3. 1998/09-2002/07,东北石油大学,应用数学,本科 4. 2014/06-2016/01,新加坡南洋理工大学,博士后 5. 2010/02-现在,常州大学,副教授, 6. 2004/09-2006/06,中兴通讯(南京研发中心),高级软件工程师 三、承担的主要研究项目 1. 国家自然科学基金面上项目,基于癌细胞分子网络的组合药物筛选研究(项目编号:61672113),2017/01-2020/12,62 万元,在研,主持; 2. 国家自然科学基金青年基金项目,核小体定位在基因表达调控中的功能预测(项目编号:31100954),2012/01-2014/12,23 万元,已结题,主持; 3. 国家自然科学基金面上项目,基于单细胞多层次组学数据的肿瘤异质性及其调控机制研究(项目编号:61772128),2018/01-2021/12,59万元,在研,合作主持 (2/7); 4. 国家自然科学青年基金项目,通过全基因组 RNAi 方法筛选果蝇 Toll 信号通路成员(项目编号:31300707),2014/01 - 2016/12,23 万元,已结题,参与 (2/6); 5. 上海市智能信息处理重点实验室开放课题,基于生物信息计算的核小体定位预测方法研究(项目编号:iipl-2010-011),2011/01 - 2012/12,2 万元,已结题,主持; 6. 国家重点基础研究发展计划项 (973 项目) 子课题,重要热带作物木薯品种改良的基础研究(项目编号:2010CB126600),2010/01 - 2014/12,167 万元,已结题,参与; 四、获奖、荣誉、社会兼职 1. 教育部2019年高校科学研究优秀成果奖自然科学奖二等奖,2019年 2. 常州市自然科学优秀科技论文三等奖,2013 年

研究领域

人工智能,数据挖掘

机器学习  生物医药大数据

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

1. Hui Liu, Wenhao Zhang, Bo Zou, Jinxian Wang, Yuanyuan Deng, Lei Deng. DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy. Nucleic Acids Research, D1:D871-D881, 2020. (影响因子:11.147,SCI一区) 2. Hui Liu, Wenhao Zhang, Lixia Nie, Xiancheng Ding, Judong Luo, Ling Zou . Predicting effective drug combinations using gradient tree boosting based on features extracted from drug-protein heterogeneous network. BMC Bioinformatics, 2019, 20:645. (影响因子:2.511, SCI 二区) 3. Lei Deng, Guolun Zhong, Chenzhe Liu, Judong Luo, Hui Liu*. MADOKA: an ultrafast approach for large-scale protein structure similarity searching. BMC Bioinformatics, 2019, 20(Suppl 19):662. (影响因子:2.511, SCI 二区) 4. Lei Deng, Wenyi Yang, Hui Liu*. PredPRBA: Prediction of Protein-RNA BindingAffiffiffinity Using Gradient Boosted Regression Trees. Frontiers in Genetics 2019, 10:637. (影响因子:3.517, SCI 二区) 5. Lei Deng, Youzhi Liu, Yechuan Shi, Hui Liu*. A deep neural network approach using distributed representations of RNA sequence and structure for identifying binding site of RNA-binding proteins. Proceeding of the IEEE International Conference on Bioinformatics and Biomedicine ,10.1109/BIBM47256.2019.8983345, 2019. (CCF-B类) 6. Lei Deng, Hui Wu, Hui Liu*. D2VCB: A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding from Combined DNA Sequence. Proceeding of the IEEE International Conference on Bioinformatics and Biomedicine, 10.1109/BIBM47256. 2019.8983051, 2019. (CCF-B 类) 7.Lei Deng, Juan Pan, Xiaojie Xu, Wenyi Yang, Chuyao Liu and Hui Liu*. PDRLGB: precise DNA-binding residue prediction using a light gradient boosting machine. BMC Bioinformatics, 2018, 19 (Suppl 19) :522. (影响因子:2.213, SCI 二区) 8.Lei Deng, Junqiang Wang, Yun Xiao, Zixiang Wang, Liu Hui*. Accurate prediction of protein-lncRNA interactions by diffffusion and HeteSim features across heterogeneous network. BMC Bioinformatics, 2018, 19:370. (影响因子:2.213, SCI 二区) 9.Lei Deng, Xiaojie Xu, Liu Hui*. PredCSO: an ensemble method for prediction of S-sulfenylation sites in proteins, Molecular BioSystems, 2018,14,257-265. (影响因子:2.781, SCI 三区) 10.Lei Deng, Zuojin Dong and Hui Liu*. XPredRBR: Accurate and Fast Prediction of RNA-Binding Residues in Proteins Using eXtreme Gradient Boosting. ISBRA2018, 2018 11.Hui Liu, Zhanzhan Cheng, Jianjiang Sun, Jihong Guan, Jie Zheng, Shuigeng Zhou. Sparse linear modeling kinase inhibition network for predicting combinatorial drug sensitivity in cancer cells. Current Bioinformatics, 2018, 13(5):437-443(7). (影响因子:0.6 , SCI 四区) 12.Hui Liu, Wai Lam, Jihong Guan, Shuigeng Zhou. A New Hybrid Method for Learning Bayesian Networks: Separation and Reunion. Knowledge-Based Systems, 2017, 121:185–197. (影响因子:4.529, SCI 二区) 13.Hui Liu, Fan Zhang, Shital Kumar Mishra, Shuigeng Zhou and Jie Zheng. Knowledgeguided fuzzy logic modeling to infer cellular signaling networks from proteomic data. Scientifific Reports, 2016, 6: 35652. (影响因子:4.259, SCI 二区) 14.Hui Liu, Mengmeng Guo, Ting Xue, Jihong Guan, Libo Luo, Ziheng Zhuang. Screening lifespan-extending drugs in Caenorhabditis elegans via label propagation on drugprotein networks. BMC System Biology, 2016, 10(Suppl 4):131. (影响因子:2.303, SCI 三区) 15.Hui Liu, Yinglong Song, Jihong Guan, Libo Luo, Ziheng Zhuang. Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks. BMC Bioinformatics, 2016,17(Suppl 17):539. (影响因子:2.448, SCI 二区) 16.Guo Jing, Liu Hui*, Zheng Jie. SynLethDB: synthetic lethality database towards discovery of selective and sensitive anticancer drug targets. Nucleic Acids Research, 2016, 44(D1):D1011-7. (影响因子:10.162, SCI 一区) 17.Hui Liu, Jianjiang Sun, Jihong Guan, Jie Zheng and Shuigeng Zhou. Improving compound protein interaction prediction by building up highly credible negative samples. Bioinformatics (ISMB/ECCB 2015), 2015, 31(12):i221-i229. (影响因子:7.307,SCI一区)

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