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胡杨
2023-05-10 19:52
  • 胡杨
  • 胡杨 - 博士 副教授 硕导-哈尔滨工业大学-生命科学与技术学院-个人资料

近期热点

资料介绍

个人简历


胡杨,从事生物信息方向的研究,共发表SCI论文65篇(其中,第一作者或通讯作者论文31篇,包含18篇第一作者/并列第一和13篇通讯作者),累计影响因子超过200,其中IF>=5的文章20篇,高被引文章2篇,H_index=17,最高引用次数96次。包含美国国家科学院院刊PNAS (6篇,IF=9.661),Brain(IF=11.337), Gastroenterology(5-year IF= 18.792), JAMA Neurology (IF=11.460),BMC Medicine(5-year IF=8.012), Brief Bioinform(IF=8.990), Bioinformatics ( IF=7.307),和 IEEE-ACM TCBB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
2017.03-至今 哈佛大学 医学院 Research Fellow(博士后)
2017.05-至今 哈尔滨工业大学 生命科学与技术学院 硕士生导师
2014.03-至今 哈尔滨工业大学 生命科学与技术学院 讲师
2009.10-2011.10 印第安纳州立大学 医学院 Visiting Student(访问学生)
2010.10 哈尔滨工业大学 预留师资
教育经历
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
科研项目
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
2. 固有无序化蛋白质预测与功能分析方法研究
3. XXXX的分析研究和系统研制
4. 生物大数据表述索引、搜索与存储访问关键技术研发
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
讲授课程
现任:
数据分析编程基础(主讲教师)
生物信息学 (上机指导教师)
生物统计学 (上机指导教师)
机器学习与模式识别 (上级指导教师)
拟新开课程:
生物数据在线分析技术
招生信息
招收生物信息学方向的硕士研究生。欢迎具有生物学背景、或对编程感兴趣的同学与我联系:

研究领域


固有无序化蛋白质的功能及网络拓扑分析,不完整数据集的统计分析"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。"

近期论文


2020:
Y. Hu, et al. rs34331204 regulates TSPAN13 expression and contributes to Alzheimer’s disease with sex differences. Brain. 2020 Dec 5;143(11):e95. doi: 10.1093/brain/awaa302.
Y. Hu, et al. rs1990622 variant associates with Alzheimer’s disease and regulates TMEM106B expression in human brain tissues. BMC Medicine. (Accepted)
Zhao L, Wang J, Y. Hu*, Cheng L*. Conjoint Feature Representation of GO and Protein Sequence for PPI Prediction Based on an Inception RNN Attention Network. Mol Ther Nucleic Acids. 2020 Aug 25;22:198-208. doi: 10.1016/j.omtn.2020.08.025. eCollection 2020 Dec 4.
Chen F, Zhang Y, Wang L, Wang T, Han Z, Zhang H, Gao S, Y. Hu*, Liu G*. PLCG2 rs72824905 variant reduces the risk of Alzheimer’s disease and multiple sclerosis. J Alzheimers Dis. 2020. (Accepted)
Meng C, Y. Hu§, Zhang Y, Guo F. PSBP-SVM: A Machine Learning-Based Computational Identifier for Predicting Polystyrene Binding Peptides. Front Bioeng Biotechnol. 2020 Mar 31;8:245. doi: 10.3389/fbioe.2020.00245. eCollection 2020.
Zhao T, Y. Hu, Zang T, Cheng L. MRTFB regulates the expression of NOMO1 in colon. Proc Natl Acad Sci U S A. 2020 Apr 7;117(14):7568-7569. doi: 10.1073/pnas.2000499117. Epub 2020 Mar 17.
Zhao T, Y. Hu, Peng J, Cheng L. DeepLGP: a novel deep learning method for prioritizing lncRNA target genes. Bioinformatics. 2020 Aug 15;36(16):4466-4472. doi: 10.1093/bioinformatics/btaa428.
Zhao T, Y. Hu, Valsdottir LR, Zang T, Peng J. Identifying drug-target interactions based on graph convolutional network and deep neural network. Brief Bioinform. 2020 May 4:bbaa044. doi: 10.1093/bib/bbaa044. Online ahead of print.
Zhao T, Y. Hu, Cheng L. Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches. Brief Bioinform. 2020 Oct 13:bbaa212. doi: 10.1093/bib/bbaa212. Online ahead of print.
Zhao T, Y. Hu, Zang T. DRACP: a novel method for identification of anticancer peptides. BMC Bioinformatics. 2020 Dec 16;21(Suppl 16):559. doi: 10.1186/s12859-020-03812-y.
Xiao N, Y. Hu, Juan L. Comprehensive Analysis of Differentially Expressed lncRNAs in Gastric Cancer. Front Cell Dev Biol. 2020 Jun 30;8:557. doi: 10.3389/cell.2020.00557. eCollection 2020.
Zhao T, Y. Hu, Zang T, Wang Y. Identifying Protein Biomarkers in Blood for Alzheimer's Disease. Front Cell Dev Biol. 2020 Jun 18;8:472. doi: 10.3389/fcell.2020.00472. eCollection 2020.
Deng S, Sun Y, Zhao T, Y. Hu, Zang T. A Review of Drug Side Effect Identification Methods. Curr Pharm Des. 2020;26(26):3096-3104. doi: 10.2174/1381612826666200612163819.
He Y, Zhang H, Wang T, Han Z, Ni QB, Wang K, Wang L, Zhang Y, Y. Hu, Jin S, Sun BL, Liu G. Impact of Serum Calcium Levels on Alzheimer's Disease: A Mendelian Randomization Study. J Alzheimers Dis. 2020;76(2):713-724. doi: 10.3233/JAD-191249.
2019:
Y. Hu, et al. “A Review of Recent Advances and Research on Drug Target Identification Methods.” Curr Drug Metab.2019;20(3):209-216. doi:10.2174/1389200219666180925091851.
Y. Hu, et al. “ Identification of Alzheimer’s Disease-related genes based on data integration method.” Frontiers in Genetics. 2019 Jan 25; 9:703. doi: 10.3389/fgene.2018.00703. eCollection 2018.
T. Zhao, L. Cheng, T. Zang, Y. Hu*. Peptide-Major Histocompatibility Complex Class I Binding Prediction Based on Deep Learning With Novel Feature. Front Genet. 2019 Nov 28;10:1191. doi: 10.3389/fgene.2019.01191. eCollection 2019.
L. Cheng, H. Zhuang, H. Ju, S. Yang, J. Han, R. Tan, Y. Hu*. Exposing the Causal Effect of Body Mass Index on the Risk of Type 2 Diabetes Mellitus: A Mendelian Randomization Study. Front Genet. 2019 Feb 14;10:94. doi: 10.3389/fgene.2019.00094. eCollection 2019.
G. Liu, Y. Hu, Q. Jiang. Population Difference and Disease Status Affect the Association Between Genetic Variants and Gene Expression. Gastroenterology. 2019 Sep;157(3):894-896. doi: 10.1053/j.gastro.2019.01.278. Epub 2019 Jun 19.
Liu G, Y. Hu, Han Z, Jin S, Jiang Q. Genetic variant rs17185536 regulates SIM1 gene expression in human brain hypothalamus. Proc Natl Acad Sci U S A. 2019 Feb 26;116(9):3347-3348. doi: 10.1073/pnas.1821550116. Epub 2019 Feb 12.
T. Zhao, Y. Hu, T. Zang, L. Cheng. Identifying Alzheimer's disease-related proteins by LRRGD. BMC Bioinformatics. 2019 Nov 25;20(Suppl 18):570. doi: 10.1186/s12859-019-3124-7.
T. Zhao, Y. Hu, T. Zang, Y. Wang. Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer's Disease-Related Genes. Front Genet. 2019 Oct 25;10:1021. doi: 10.3389/fgene.2019.01021. eCollection 2019.
T. Zhao, D. Wang, Y. Hu, N. Zhang, T. Zang, Y. Wang. Identifying Alzheimer's Disease-related miRNA Based on Semi-clustering. Curr Gene Ther. 2019;19(4):216-223. doi: 10.2174/1566523219666190924113737.
Han Z, Wang T, Tian R, Zhou W, Wang P, Ren P, Zong J, Y. Hu, Jin S, Jiang Q. BIN1 rs744373 variant shows different association with Alzheimer's disease in Caucasian and Asian populations. BMC Bioinformatics. 2019 Dec 24;20(Suppl 25):691. doi: 10.1186/s12859-019-3264-9.
Wang T, Han Z, Yang Y, Tian R, Zhou W, Ren P, Wang P, Zong J, Hu Y, Jiang Q. Polygenic Risk Score for Alzheimer's Disease Is Associated With Ch4 Volume in Normal Subjects. Front Genet. 2019 Jul 10;10:519. doi: 10.3389/fgene.2019.00519. eCollection 2019.
2018:
Y. Hu, et al. “Identifying diseases-related metabolites using random walk.” BMC Bioinformatics. 2018 Apr 11;19(Suppl 5):116. doi: 10.1186/s12859-018-2098-1.
L. Cheng, Y. Hu§, J. Sun, M. Zhou, Q. Jiang. “DincRNA: a comprehensive web-based bioinformatics toolkit for exploring disease associations and ncRNA function.” Bioinformatics. 2018 Jan 22. doi: 10.1093/bioinformatics/bty002.
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.” BMC Genomics. 2018 Jan 19;19(Suppl 1):919. doi: 10.1186/s12864-017-4338-6.
L. Cheng, Y. Hu. “Human Disease System Biology.” Curr Gene Ther. 2018 Nov 1. doi: 10.2174/1566523218666181101143116.
G. Liu, S. Jin, Y. Hu, Q. Jiang. 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.
G. Liu, Y. Zhang, L. Wang, J. Xu, X. Chen, Y. Bao, Y. Hu, S. Jin, R. Tian, W. Bai, W. Zhou, T. Wang, Z. Han, J. Zong, Q. Jiang. “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.
Z. Han, T. Wang, R. Tian, W. Zhou, P. Wang, P. Ren, J Zong, Y. Hu, S. Jin, Q. Jiang. “BIN1 rs744373 Variant Is Significantly Associated with Alzheimer’s Disease in Caucasian but Not East Asian Populations.” ICIC 2018 (Intelligent Computing Theories and Application). pp 520-526
G. Liu, Y. Zhao, S. Jin, Y. Hu, T. Wang, R. Tian, Z. Han, D. Xu, Q. Jiang. “Circulating vitamin E levels and Alzheimer’s disease: a Mendelian randomization study.” Neurobiol Aging. 2018 Dec;72:189.e1-189.e9. doi: 10.1016/j.neurobiolaging.2018.08.008. Epub 2018 Aug 10.
G. Liu, T. Wang, R. Tian, Y. Hu, Z. Han, P. Wang, W. Zhou, P. Ren, J. Zong, S. Jin, Q. Jiang.\
Frontiers in Genetics (IF=4.151):
Guest Associate Editor
Frontiers in Neuroscience (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

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