胡杨科研成果

基本信息 论文专著 科学研究 教育教学 招生信息 新建主栏目 个人简介 名称 胡杨，博士，准聘副教授，博士生导师 近五年来（2018~2022），作为第一作者、通讯作者在Mol Psychiatry（IF=13.437）、 BMC Med（IF=11.806）、PNAS（IF=11.205，3篇，美国国家科学院院刊）、Alzheimers & Dementia（IF=16.655，2篇，AD领域排名第一）、Brain（IF=15.255）、J Infect（IF=38.637, 5篇）、Brief Bioinform （IF=13.994）、Mol Ther Nucleic Acids（IF=10.183）、Bioinformatics、J Alzheimers Dis、J Neurol Sci、J Mol Neurosci、Neurol Sci等生物信息发表研究性论文25篇，其中ESI高被引5篇，热点文章1篇。同时以共同作者在PNAS、JAMA Neurol、Gastroenterology、Mult Scler、Neurobiol Aging、Mol Neurobiol、J Alzheimers Dis等杂志发表论文26篇。 国际评价：发表的论文被PNAS、Nature Review Drug Discovery（IF=64.797）、Lancet Psychiatry（IF=16.209）、Brain（IF=11.337）等国际著名期刊引用1545次，H指数为22，H10指数为53（截止2021年4月7日，Google Scholar统计） 。其中，引用的专家包括：美国国家科学院院士、哈佛大学医学院Judy Lieberman教授；美国国家医学科学院院士Alison M.Goate教授；诺贝尔委员会委员、瑞典皇家科学院院士Rikard Holmdahl教授等。 目前主持国家自然科学基金青年项目1项，黑龙江省博士后基金（一等）1项，哈工大校科研基金1项，参与国家863计划重大项目1项（骨干），参与国家重点研发计划1项（骨干），参与国家自然科学基金3项（骨干）。 工作经历 名称 2021.05-至今 哈尔滨工业大学 计算学部 博士生导师 & 准聘副教授 2019.12-2021.04 哈尔滨工业大学 生命学院 准聘副教授 2017.03-2019.10 美国哈佛大学 医学院 Research Fellow（博士后） 2014.03-2019.12 哈尔滨工业大学 生命学院 硕士生导师 & 讲师 2009.10-2011.10 美国印第安纳州立大学 医学院 Visiting Student（联合培养博士） 2010.10 哈尔滨工业大学 预留师资 教育经历 名称 2007.09-2013.09 哈尔滨工业大学 计算机应用技术 获工学博士学位 2005.09-2007.07 哈尔滨工业大学 计算机应用技术 获工学硕士学位 2001.09-2005.07 哈尔滨工业大学 焊接工程与技术 获工学学士学位 学术任职及活动 名称 Frontiers in Genetics (遗传学) (IF=4.151)： Guest Associate Editor Frontiers in Neuroscience (神经) (IF=3.877)： Guest Associate Editor Current Gene Therapy (IF=2.780)： Topic Editor 此外，做为特约审稿人已累计审稿40余篇SCI期刊文章 SCI论文 （ *: Corresponding ，§: Co-first） 名称 2023： 1. Shizheng Qiu, Keyang Zheng, Yang Hu*, Guiyou Liu. Genetic correlation, causal relationship, and shared loci between vitamin D and COVID‐19: a genome‐wide cross‐trait analysis. J Med Virol. 2023;e28780. doi:10.1002/jmv.28780 (已录用，Impact factor: 20.693) 2. Yu Guo, Ying Zhang, Yang Hu*, COVID-19 subgroups may slow down biological age acceleration, J Infect, 2023 (Impact factor: 38.637) 3. Yu Guo, Dahe Li, Yang Hu*. Appraising the associations between systemic iron status and epigenetic clocks: A genetic correlation and bidirectional Mendelian Randomization study. Am J Clin Nutr. 2023. (Impact factor: 8.472) 4. Lingling Du, Hanruo Liu, Lan Zhang, Yao Lu, Mengyao Li, Yang Hu, Yi Zhang. Deep ensemble learning for accurate retinal vessel segmentation. Comput Biol Med. 2003. (Impact factor: 7.250) 2022： 1. Yang Hu, Yan Zhang, Haihua Zhang, Shan Gao, Longcai Wang, Tao Wang, Zhifa Han, Bao-Liang Sun, Guiyou Liu*, Cognitive performance protects against Alzheimer's disease independently of educational attainment and intelligence, Mol Psychiatry, 2022 (Impact factor: 13.437) 2. Yang Hu, Yan Zhang, Haihua Zhang, Shan Gao, Longcai Wang, Tao Wang, Zhifa Han and Guiyou Liu*, Mendelian randomization highlights causal association between genetically increased C-reactive protein levels and reduced Alzheimer’s disease risk, Alzheimers Dement, 2022 (Impact factor: 16.655) 3. Fuxu Wang, Haoyan Wang, Lizhuang Wang, Haoyu Lu, Shizheng Qiu, Tianyi Zang*, Xinjun Zhang*, Yang Hu*, MHCRoBERTa: pan-specific peptide-MHC class I binding prediction through transfer learning with label-agnostic protein sequences, Briefings in Bioinformatics, 2022 (Impact factor: 13.994) 4. Shizheng Qiu, Yang Hu*, Quan Zou*, Guiyou Liu*, Genetic variant rs9848497 up-regulates MST1R expression, thereby influencing leadership phenotypes, Proc Natl Acad Sci U S A., 2022 (Impact factor: 12.779) 5. Shizheng Qiu, Donghua Wang, Yu Zhang, Yang Hu*, Mendelian randomization reveals potential causal candidates for COVID-19 in 123 blood metabolites, J Infect., 2022 (Impact factor: 38.637) 6. Yu Guo, Ying Zhang, Yang Hu*, COVID-19 subgroups may slow down biological age acceleration, J Infect, 2022 (Impact factor: 38.637) 7. Shizheng Qiu, Yang Hu*, Liang Cheng*, A genome-wide cross-trait analysis highlights the shared genetic structure between COVID-19 and Alzheimer's disease, J Infect., 2022 (Impact factor: 38.637) 8. Jingjing Liu, Shuang Li, Yang Hu, Shizheng Qiu, Repurposing Antihypertensive Drugs for the Prevention of Glaucoma: A Mendelian Randomization Study, Translational vision science & technology, 2022 (Impact factor: 3.048) 9. Feng Xue, Luyan Gao, TingTing Chen, Hongyuan Chen, Haihua Zhang, Tao Wang, Zhifa Han, Shan Gao, Longcai Wang, Yang Hu, Jiangwei Tang, Lei Huang, Guiyou Liu, Yan Zhang, Parkinson's Disease rs117896735 Variant Regulates INPP5F Expression in Brain Tissues and Increases Risk of Alzheimer's Disease, J Alzheimers Dis., 2022 (Impact factor: 4.16) 10. Haijie Liu, Yang Hu, Yan Zhang, Haihua Zhang, Shan Gao, Longcai Wang, Tao Wang, Zhifa Han, Bao-Liang Sun, Guiyou Liu, Mendelian randomization highlights significant difference and genetic heterogeneity in clinically diagnosed Alzheimer's disease GWAS and self-report proxy phenotype GWAX, Alzheimers Res Ther., 2022 (Impact factor: 8.831) 11. Jihong Zhang, Yang Hu, Qing Han, Haotuo Liu, Yasong Sun, Xiaohu Wu, Optical axis-driven modulation of near-field radiative heat transfer between two calcite parallel structures, Phys Chem Chem Phys., 2022 (Impact factor: 3.945) 2021： 1. Yang Hu, Jing-Yi Sun, Yan Zhang, Haihua Zhang, Shan Gao, Tao Wang, Zhifa Han, Longcai Wang, Bao-Liang Sun and Guiyou Liu*, rs1990622 variant associates with Alzheimer's disease and regulates TMEM106B expression in human brain tissues, BMC Med, 2021 (Impact factor: 11.806, ESI高被引) 2. Yang Hu#, Shizheng Qiu# and Liang Cheng*, Integration of Multiple-Omics Data to Analyze the Population-Specific Differences for Coronary Artery Disease, Comput Math Methods Med, 2021 (Impact factor: 2.809, 热点文章，ESI高被引) 3. Tianyi Zhao, Yang Hu, Linda R Valsdottir, Tianyi Zang* and Jiajie Peng*, Identifying drug-target interactions based on graph convolutional network and deep neural network, Brief Bioinform, 2021 (Impact factor: 13.994, 学生一作，本人副导师，ESI高被引) 4. Tianyi Zhao, Yang Hu and Liang Cheng*, Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches, Brief Bioinform, 2021 (Impact factor: 13.994, 学生一作，本人副导师，ESI高被引) 5. Shizheng Qiu, Yu Zhang, Donghua Wang and Yang Hu*, The high expression of SARS-CoV-2 cell receptors might lead to higher COVID-19 infection rates in cancer patients, J Infect, 2021 (Impact factor: 38.637) 6. Shizheng Qiu and Yang Hu*, Are COVID-19 susceptibility genes related to lung cancer?, J Infect, 2021 (Impact factor: 38.637) 7. Shizheng Qiu, Yang Hu* and Liang Cheng*, BIN1 rs744373 located in enhancers of brain tissues upregulates BIN1 mRNA expression, thereby leading to Alzheimer's disease, Alzheimers Dement, 2021 (Impact factor: 16.655) 8. Fan Chen, Yan Zhang, Longcai Wang, Tao Wang, Zhifa Han, Haihua Zhang, Shan Gao, Yang Hu* and Guiyou Liu*, PLCG2 rs72824905 Variant Reduces the Risk of Alzheimer's Disease and Multiple Sclerosis, J Alzheimers Dis, 2021 (Impact factor: 4.472) 9. Shizheng Qiu#, Peigang Cao#, Yu Guo, Haoyu Lu and Yang Hu*, Exploring the Causality Between Hypothyroidism and Non-alcoholic Fatty Liver: A Mendelian Randomization Study, Front Cell Dev Biol, 2021 (Impact factor: 6.684) 10. Gaoyang Li#, Yongzhuang Liu#, Deying Li#, Bo Liu, Junyi Li, Yang Hu* and Yadong Wang*, Fast and Accurate Classification of Meta-Genomics Long Reads With deSAMBA, Front Cell Dev Biol, 2021 (Impact factor: 6.684) 11. Shizheng Qiu#, Meijie Li#, Shunshan Jin#, Haoyu Lu and Yang Hu*, Rheumatoid Arthritis and Cardio-Cerebrovascular Disease: A Mendelian Randomization Study, Front Genet, 2021 (Impact factor: 4.599) 12. Shizheng Qiu, Yang Hu* and Siqing Dong, Pan-cancer analysis reveals the expression, genetic alteration and prognosis of pyroptosis key gene GSDMD, Int Immunopharmacol, 2021 (Impact factor: 4.932) 13. Haijie Liu, Yan Zhang, Yang Hu, Haihua Zhang, Tao Wang, Zhifa Han, Shan Gao, Longcai Wang and Guiyou Liu*, Mendelian randomization to evaluate the effect of plasma vitamin C levels on the risk of Alzheimer's disease, Genes Nutr, 2021 (Impact factor: 5.523) 2020： 1. Yang Hu, Haihua Zhang, Bian Liu, Shan Gao, Tao Wang, Zhifa Han, (IGAP), Xunming Ji and Guiyou Liu*, rs34331204 regulates TSPAN13 expression and contributes to Alzheimer's disease with sex differences, Brain, 2020 (Impact factor: 15.255) 2. Lingling Zhao, Junjie Wang, Yang Hu* and Liang Cheng*, Conjoint Feature Representation of GO and Protein Sequence for PPI Prediction Based on an Inception RNN Attention Network, Mol Ther Nucleic Acids, 2020 (Impact factor: 10.183) 3. Tianyi Zhao, Yang Hu and Liang Cheng*, Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches, Brief Bioinform, 2020 (Impact factor: 13.994，学生一作，本人副导师，ESI高被引) 4. Tianyi Zhao, Yang Hu, Tianyi Zang* and Liang Cheng*, MRTFB regulates the expression of NOMO1 in colon, Proc Natl Acad Sci U S A, 2020 (Impact factor: 12.779, 学生一作，本人副导师) 5. Tianyi Zhao, Yang Hu, Linda R Valsdottir, Tianyi Zang* and Jiajie Peng*, Identifying drug-target interactions based on graph convolutional network and deep neural network, Brief Bioinform, 2020 (Impact factor: 13.994, 学生一作，本人副导师) 6. Tianyi Zhao, Yang Hu, Jiajie Peng* and Liang Cheng*, DeepLGP: a novel deep learning method for prioritizing lncRNA target genes, Bioinformatics, 2020 (Impact factor: 6.937, 学生一作，本人副导师) 7. Chaolu Meng#, Yang Hu#, Ying Zhang* and Fei Guo*, PSBP-SVM: A Machine Learning-Based Computational Identifier for Predicting Polystyrene Binding Peptides, Front Bioeng Biotechnol, 2020 (Impact factor: 5.890) 8. Jiahui Zhang, Mingai Sun, Yuanyuan Zhao, Guannan Geng* and Yang Hu*, Identification of Gingivitis-Related Genes Across Human Tissues Based on the Summary Mendelian Randomization, Front Cell Dev Biol, 2020 (Impact factor: 6.684) 9. Tianyi Zhao, Yang Hu, Tianyi Zang* and Yadong Wang*, Identifying Protein Biomarkers in Blood for Alzheimer's Disease, Front Cell Dev Biol, 2020 (Impact factor: 6.684, 学生一作，本人副导师) 10. Tianyi Zhao, Yang Hu and Tianyi Zang*, DRACP: a novel method for identification of anticancer peptides, BMC Bioinformatics, 2020 (Impact factor: 3.169, 学生一作，本人副导师) 11. Yating He, Haihua Zhang, Tao Wang, Zhifa Han, Qing-Bin Ni, Kun Wang, Longcai Wang, Yan Zhang, Yang Hu*, Shuilin Jin*, Bao-Liang Sun and Guiyou Liu, Impact of Serum Calcium Levels on Alzheimer's Disease: A Mendelian Randomization Study, J Alzheimers Dis, 2020 (Impact factor: 4.472) 12. Nan Xiao, Yang Hu and Liran Juan*, Comprehensive Analysis of Differentially Expressed lncRNAs in Gastric Cancer, Front Cell Dev Biol, 2020 (Impact factor: 6.684) 2019： 1. Guiyou Liu, Yang Hu and Qinghua Jiang*, Population Difference and Disease Status Affect the Association Between Genetic Variants and Gene Expression, Gastroenterology, 2019 (Impact factor: 33.883, 学生一作，本人副导师) 2. Guiyou Liu, Yang Hu, Zhifa Han, Shuilin Jin* and Qinghua Jiang*, Genetic variant rs17185536 regulates SIM1 gene expression in human brain hypothalamus, Proc Natl Acad Sci U S A, 2019 (Impact factor: 12.779, 学生一作，本人副导师) 3. Yang Hu, Tianyi Zhao, Ningyi Zhang, Ying Zhang* and Liang Cheng*, A Review of Recent Advances and Research on Drug Target Identification Methods, Curr Drug Metab, 2019 (Impact factor: 3.731) 4. Tianyi Zhao, Liang Cheng, Tianyi Zang and Yang Hu*, Peptide-Major Histocompatibility Complex Class I Binding Prediction Based on Deep Learning With Novel Feature, Front Genet, 2019 (Impact factor: 4.599) 5. Zhifa Han, Tao Wang, Rui Tian, Wenyang Zhou, Pingping Wang, Peng Ren, Jian Zong, Yang Hu*, Shuilin Jin* and Qinghua Jiang*, BIN1 rs744373 variant shows different association with Alzheimer's disease in Caucasian and Asian populations, BMC Bioinformatics, 2019 (Impact factor: 3.169) 6. Liang Cheng, He Zhuang, Hong Ju, Shuo Yang, Junwei Han, Renjie Tan* and Yang Hu*, Exposing the Causal Effect of Body Mass Index on the Risk of Type 2 Diabetes Mellitus: A Mendelian Randomization Study, Front G。、enet, 2019 (Impact factor: 4.599) 7. Tao Wang, Zhifa Han, Yu Yang, Rui Tian, Wenyang Zhou, Peng Ren, Pingping Wang, Jian Zong, Yang Hu* and Qinghua Jiang*, Polygenic Risk Score for Alzheimer's Disease Is Associated With Ch4 Volume in Normal Subjects, Front Genet, 2019 (Impact factor: 4.599) 8. Tianyi Zhao, Yang Hu, Tianyi Zang* and Yadong Wang*, Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer's Disease-Related Genes, Front Genet, 2019 (Impact factor: 4.599) 9. Tianyi Zhao, Yang Hu, Tianyi Zang* and Liang Cheng*, Identifying Alzheimer's disease-related proteins by LRRGD, BMC Bioinformatics, 2019 (Impact factor: 3.169) Tianyi Zhao, Donghua Wang, Yang Hu, Ningyi Zhang, Tianyi Zang* and Yadong Wang*, Identifying Alzheimer's Disease-related miRNA Based on Semi-clustering, Curr Gene Ther, 2019 (Impact factor：4.291) 2018： 1. Hu Y, Zhao T, Zang T, Zhang Y, Cheng L. Identification of Alzheimer's Disease-Related Genes Based on Data Integration Method. Front Genet. 2019 Jan 25;9:703. doi: 10.3389/fgene.2018.00703. 2. L. Cheng, Y. Hu§. DincRNA: a comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function. Bioinformatics. 2018 Jan 22. doi: 10.1093/bioinformatics/bty002. 3. L. Cheng, Y. Jiang, H. Ju, J. Sun, J. Peng, M. Zhou, Y. Hu*. “InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk.” . 2018 Jan 19;19(Suppl 1):919. doi: 10.1186/s12864-017-4338-6. 4. L. Cheng, Y. Hu. “Human Disease System Biology.” Curr Gene Ther. 2018 Nov 1. doi: 10.2174/1566523218666181101143116. 5. G. Liu, S. Jin, Y. Hu. Disease status affects the association between rs4813620 and the expression of Alzheimer's disease susceptibility gene TRIB3.Proc Natl Acad Sci U S A. 2018 Nov 6;115(45):E10519-E10520. doi: 10.1073/pnas.1812975115. Epub 2018 Oct 24. 6. G. Liu, Y. Zhang, L. Wang, J. Xu, X. Chen, Y. Bao, Y. Hu. Alzheimer's Disease rs11767557 Variant Regulates EPHA1 Gene Expression Specifically in Human Whole Blood. J Alzheimers Dis. 2018;61(3):1077-1088. doi: 10.3233/JAD-170468 7. Z. Han, T. Wang, R. Tian, W. Zhou, P. Wang, P. Ren, J Zong, Y. Hu 8. G. Liu, Y. Zhao, S. Jin, Y. Hu. Circulating vitamin E levels and Alzheimer's disease: a Mendelian randomization study2018 Dec;72:189.e1-189.e9. doi: 10.1016/j.neurobiolaging.2018.08.008. Epub 2018 Aug 10. 9. G. Liu, T. Wang, R. Tian, Y. Hu. Alzheimer's Disease Risk Variant rs2373115 Regulates GAB2 and NARS2 Expression in Human Brain Tissues. J Mol Neurosci. 2018 Sep;66(1):37-43. doi: 10.1007/s12031-018-1144-9 2017： 1. G. Liu§, Y. Hu§Proc Natl Acad Sci USA, 2017,114(6): E906-E907. (IF=11.205) 2. Y. Hu, et al. Autoimmune disease variants regulate GSDMB gene expression in human immune cells and whole blood. Proc Natl Acad Sci U S A. 2017 Sep 19;114(38):E7860-E7862. doi: 10.1073/pnas.1712127 3. Y. Hu, et al. “Rs4878104 contributes to Alzheimer's disease risk and regulates DAPK1 gene expression.” Neurol Sci. 2017 Jul;38(7):1255-1262. doi: 10.1007/s10072-017-2959-9. Epub 2017 Apr 20. 4. Y. Hu, et al. Measuring disease similarity and predicting disease-related ncRNAs by a novel method. BMC Med Genomics. 2017 Dec 28;10(Suppl 5):71. doi: 10.1186/s12920-017-0315-9. 5. Y. Hu, et al. A framework for exploring associations between biomedical terms in PubMed. Oncotarget. 2017 Oct 5;8(61):103100-103107. doi: 10.18632/oncotarget.21532 6. Y. Liu, J. Zhao, T. Jiang, M. Yu, G. Jiang, and Y. Hu*. A pathway analysis of genome-wide association study highlights novel type 2 diabetes risk pathways. Sci Rep. 2017 Oct 2;7(1):12546. doi: 10.1038/s41598-017-12873-8 7. N. Zhang, Y. Zhang, T. Zhao, J. Ren, Y. Cheng, Y. Hu* 8. Tianyi Zhao, Ningyi Zhang, Ying Zhang, Jun Ren, Peigang Xu, Zhiyan Liu, Liang Cheng,Y. Hu*. A novel method to identify pre-microRNA in various species knowledge base on various species. J Biomed Semantics. 2017 Sep 20;8(Suppl 1):30. doi: 10.1186/s13326-017-0143-z. 9. Y. Hu, et al. GAB2 rs2373115 variant contributes to Alzheimer's disease risk specifically in European population. J Neurol Sci. 2017 Apr 15;375:18-22. doi: 10.1016/j.jns.2017.01.030 10. Liu G, Zhang F, Jiang Y, Hu Y, Gong Z, Liu S, Chen X, Jiang Q, Hao J. Integrating genome-wide association studies and gene expression data highlights dysregulated multiple sclerosis risk pathways. Mult Scler. 2017 Feb;23(2):205-212. doi: 10.1177/1352458516649038 11. Liu G, Zhang F, Y. Hu. Liu G, Zhang F, Hu Y, Jiang Y, Gong Z, Liu S, Chen X, Jiang Q, Hao J. Genetic Variants and Multiple Sclerosis Risk Gene SLC9A9 Expression in Distinct Human Brain Regions. Mol Neurobiol. 2017 Nov;54(9):6820-6826. doi: 10.1007/s12035-016-0208-5 12. Wang Z, Jin S, Liu G, Zhang X, Wang N, Wu D, Y. Hu, Zhang C, Jiang Q, Xu L, Wang Y. DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data. BMC Bioinformatics. 2017 May 23;18(1):270. doi: 10.1186/s12859-017-1647-3. 13. Liu G, Zhang F, Jiang Y, Y. Hu. Integrating genome-wide association studies and gene expression data highlights dysregulated multiple sclerosis risk pathways. Mult Scler. 2017 Feb;23(2):205-212. doi: 10.1177/1352458516649038. Epub 2016 Jul 11. 14. Chu Y, Wang Z, Wang R, Zhang N, Li J, Y. Hu, Teng M, Wang Y. WDNfinder: A method for minimum driver node set detection and analysis in directed and weighted biological network. J Bioinform Comput Biol. 2017 Oct;15(5):1750021. doi: 10.1142/S0219720017500214. Epub 2017 Sep 4. 2016： 1. Wan G, Zhou W, Hu Y, et al. Transcriptional Regulation of lncRNA Genes by Histone Modification in Alzheimer's Disease. Biomed Res Int. 2016;2016:3164238. doi:10.1155/2016/3164238. 2. Cheng L, Sun J, Xu W, Dong L, Hu Y, Zhou M. OAHG: an integrated resource for annotating human genes with multi-level ontologies. Sci Rep. 2016;6:34820. Published 2016 Oct 5. doi:10.1038/srep34820. 3. Hu Y, Zhang Y, Ren J, Wang Y, Wang Z, Zhang J. Statistical Approaches for the Construction and Interpretation of Human Protein-Protein Interaction Network. Biomed Res Int. 2016;2016:5313050. doi:10.1155/2016/5313050. 4. Cheng L, Shi H, Wang Z, Hu Y, Yang H, Zhou C, Sun J, Zhou M. IntNetLncSim: an integrative network analysis method to infer human lncRNA functional similarity. Oncotarget. 2016 Jul 26;7(30):47864-47874. doi: 10.18632/oncotarget.10012. 5. Liu G, Zhang F, Hu Y, Jiang Y, Gong Z, Liu S, Chen X, Jiang Q, Hao J. Genetic Variants and Multiple Sclerosis Risk Gene SLC9A9 Expression in Distinct Human Brain Regions. Mol Neurobiol. 2017 Nov;54(9):6820-6826. doi: 10.1007/s12035-016-0208-5. 6. Hu Y, Zhou W, Ren J, Dong L, Wang Y, Jin S, Cheng L. Annotating the Function of the Human Genome with Gene Ontology and Disease Ontology. Biomed Res Int. 2016;2016:4130861. doi: 10.1155/2016/4130861 7. Shen C, Hu Y, Li X, Wang Y, Chen PS, Buxton AE. Identification of subpopulations with distinct treatment benefit rate using the Bayesian tree. Biom J. 2016 Nov;58(6):1357-1375. doi: 10.1002/bimj.201500180 8. Liu G, Zhang F, Jiang Y, Hu Y, Gong Z, Liu S, Chen X, Jiang Q, Hao J. Integrating genome-wide association studies and gene expression data highlights dysregulated multiple sclerosis risk pathways. Mult Scler. 2017 Feb;23(2):205-212. doi: 10.1177/1352458516649038. 9. Cheng L, Zhang S, Hu Y. BLAT2DOLite: An Online System for Identifying Significant Relationships between Genetic Sequences and Diseases. PLoS One. 2016 Jun 17;11(6):e0157274. doi: 10.1371/journal.pone.0157274. 10. Cheng L, Jiang Y, Wang Z, Shi H, Sun J, Yang H, Zhang S, Hu Y, Zhou M. DisSim: an online system for exploring significant similar diseases and exhibiting potential therapeutic drugs. Sci Rep. 2016 Jul 26;6:30024. doi: 10.1038/srep30024. 11. Jiang Q, Hu Y, Liu G. Association of Alzheimer Disease Susceptibility Variants and Gene Expression in the Human Brain. JAMA Neurol. 2016 Oct 1;73(10):1255. doi: 10.1001/jamaneurol.2016.2796. 12. Zhang T, Hu Y, Wu X, Ma R, Jiang Q, Wang Y. Identifying Liver Cancer-Related Enhancer SNPs by Integrating GWAS and Histone Modification ChIP-seq Data. Biomed Res Int. 2016;2016:2395341. doi: 10.1155/2016/2395341. 13. Liu G, Hu Y, Jin S, Zhang F, Jiang Q, Hao J. Cis-eQTLs regulate reduced LST1 gene and NCR3 gene expression and contribute to increased autoimmune disease risk. Proc Natl Acad Sci U S A. 2016 Oct 18;113(42):E6321-E6322. doi: 10.1073/pnas.1614369113 Before： 1. Y. Hu, et al. “Changes in predicted protein disorder tendency may contribute to disease risk,” , vol. 12 Suppl 5, pp. S2, Dec 23, 2011. 2. Cui J, Hu Y, Feng K, Li J, Tan J. FBG Interrogation Method with High Resolution and Response Speed Based on a Re？ective-Matched FBG Scheme. Sensors (Basel). 2015 Jul 8;15(7):16516-35. doi: 10.3390/s150716516. EI 论文 （ *: Corresponding） 名称 Y. Hu, et al. InfDisSim: A novel method for measuring disease similarity based on information flow. In: Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on: 2016 Jun 19 2016. IEEE: 20-26. Y. Hu, et al. DisSetSim: an online system for calculating similarity between disease sets. In: Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on: 2016 Jun 19 2016. IEEE: 20-26. L. Zhao, T. Zhao, Y. Hu*, L. Cheng. Identifying diseases-related metabolites based on network. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2017. T. Zhao, N. Zhang, J. Ren, P. Xu, Z. Liu, L. Cheng, Y. Hu*. A novel method to identify pre-microRNA in various species knowledge base. In: Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on: 2016 Jun 19 2016. IEEE: 1679-1688. 研究领域 名称 主要研究复杂疾病遗传因素的生物信息学、生物统计学分析。 团队成员 名称 在读学生： 1 王福旭 博士在读 2 张凝一 博士在读 3 刘玥 博士在读 4 郭煜 博士在读 5 邱石正 硕士在读 2021年国家奖学金 6 卢昊宇 硕士在读 7 冯天周 硕士在读 8 阮戍用 本科在读 9 李书仪 本科在读 毕业学生： 10 赵天意 博士毕业 哈工大青年拔尖副教授 11 倪雪琴 硕士毕业 MDPI期刊助理编辑 12 郝梦圆 硕士毕业 北京美团（程序开发） 13 冯昶瑞 本科毕业 上海交通大学（读研） 14 任军 本科毕业 南方科技大学（读研） 15 郑易铭 本科毕业 辉大基因（香港） 科研项目 项目名称 1. 整合全基因组关联研究和组织调控表达数据识别多发性硬化风险基因和遗传通路 项目来源 国家自然科学基金青年项目 61801147（2019.1.1～2021.12.30） 开始时间 结束时间 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 2. 固有无序化蛋白质预测与功能分析方法研究 项目来源 黑龙江省博士后基金（一等资助）LBH-Z6064 （2016.11.1～2018.11.1） 开始时间 结束时间 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 3. XXXX的分析研究和系统研制 项目来源 哈尔滨工业大学科研创新研究基金 HIT.NSRIF.201856 (2017.10.1~2019.9.30) 开始时间 结束时间 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 4. 生物大数据表述索引、搜索与存储访问关键技术研发 项目来源 国家863计划重大项目 2015AA020101 （2015.1.1～2017.12.30） 开始时间 结束时间 项目经费 担任角色 项目类别 项目状态 简单介绍 项目名称 5. 高等级病原微生物实验室信息管理关键技术与系统研发 项目来源 国家重点研发计划 2016YFC1202302 （2016.7.1～2018.12.30） 开始时间 结束时间 项目经费 担任角色 参与 项目类别 项目状态 简单介绍 讲授课程 名称 现任： 数理逻辑与近世代数（主讲教师） 数据分析编程基础（主讲教师） 机器学习与模式识别 （合讲教师） 生物信息学 （上机指导教师） 生物统计学 （上机指导教师） 拟新开课程： 生物数据在线分析技术 联系方式： 名称 每年招收生物信息学方向的本科3~5人、硕士3人、博士2人。请最好与我电话联系： Phone：150-4566-6752 Email ：huyang@hit.edu.cn