赵天意 - 哈尔滨工业大学 - 医学与健康学院

个人简介

赵天意，博士、青年拔尖副教授、博士生导师、生物信息学系主任、生物信息技术研究院副院长。 1992年出生于黑龙江省哈尔滨市，2018-2020年间赴哈佛大学进行联合培养，归国后留校任职青年拔尖副教授。主持国家重点研发计划课题1项、国家自然基金1项、哈工大青年人才项目1项、医工交叉项目1项。

研究领域

研究方向为复杂疾病分子特征识别、生物网络分析，旨在通过对深度学习、机器学习算法的创新性突破解决生物学问题

近期论文

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复杂疾病分子特征识别 Zhao T*.Multiple mutations of IFITM3 are associated with COVID-19 susceptibility[J].The Journal of infection, 2023. （一区，IF=36.5） Zhao T, Lyu S, Lu G, et al. SC2disease: a manually curated database of Single-Cell Transcriptome for human diseases[J]. Nucleic Acid Research, 2020. （一区，IF=16.5） Zhao T, Hu Y, Liang C. Deep-DRM: A computational Method for Identifying Disease-related Metabolites based on Graph Deep Learning Approaches[J]. Briefings in Bioinformatics, 2020. （一区，IF=11.6） Peng J, Zhao T*. Reduction in TOM1 expression exacerbates Alzheimer’s disease[J]. Proceedings of the National Academy of Sciences, 2020, 117(8): 3915-3916. （一区，IF=11.2） Zhao T, Hu Y, Zang T, Cheng L. MRTFB Regulates the Expression of NOMO1 in Colon[J]. Proceedings of the National Academy of Sciences. 2020, 117(14): 7568-7569. （一区，IF=11.2） Zhao T, Hu Y, Zang T, et al. Identifying Protein Biomarkers in Blood for Alzheimer's Disease[J]. Frontiers in Cell and Developmental Biology, 2020, 8. （二区，IF=6.6） Zhao T, Hu Y, Zang T, et al. Identifying Alzheimer’s disease-related proteins by LRRGD[J]. BMC bioinformatics, 2019, 20(18): 570. （二区，IF=3.2） Zhao T, Hu Y, Zang T, Wang Y. Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer's Disease-Related Genes[J]. Frontiers in Genetics, 2019, 10, 1021. （二区，IF=4.6） Zhao T, et al. Identifying Alzheimer's Disease-related miRNA Based on Semi-clustering[J]. Current Gene Therapy,2019.（三区，IF=4.2）分子调控关系识别 Zhao T, Liu J, Zeng X et al. Prediction and collection of protein–metabolite interactions [J]. Briefings in Bioinformatics, 2021. （一区, IF=11.6） Zhao T, Y Hu, L R. Valsdottir, et al. Identifying drug-target interactions based on Graph Convolutional Network and Deep Neural Network[J]. Briefings in Bioinformatics, 2020. （一区，IF=11.6） Zhao T, Hu Y, Liang C. DeepLGP: A Novel Deep Learning Method for Prioritizing lncRNA Target Genes[J]. Bioinformatics, 2020.（一区，IF=6.9) 分子特征识别 Zhao T, Liang C, Zang T, et al. Identification of anticancer peptides based on Random Relevance Vector Machines[C]//2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019: 1822-1827.(CCF B类会议) Yuran Jia,...., Zhao T*. THItoGene: a deep learning method for predicting spatial transcriptomics from histological images[J], Briefings in Bioinformatics, 2023. （一区，IF=9.5） Zhao T, Cheng L, Zang T, et al. Peptide-Major Histocompatibility Complex Class I Binding Prediction Based on Deep Learning With Novel Feature[J]. Frontiers in Genetics, 2019, 10. （二区，IF=4.6） Zhao T, Zhang N, Ren J, et al. A novel method to identify pre-microRNA in various species knowledge base[C]//2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2016: 1679-1688. (CCF B类会议) Zhao T, et al. A novel method to identify pre-microRNA in various species knowledge base on various species[J]. Journal of Biomedical Semantics（三区，IF=2.1）