发表论文
[1] Zhu, M, Yin, P, Hu, F, Jiang, J, Yin, L, Li, Y, Wang, S. Integrating genome-wide association and transcriptome prediction model identifies novel target genes for osteoporosis. OSTEOPOROSIS INTERNATIONAL[J]. 2021, 32(12): 2493-2503, http://dx.doi.org/10.1007/s00198-021-06024-z.[2] Hu, Fan, Wang, Lei, Hu, Yishen, Wang, Dongqi, Wang, Weijie, Jiang, Jianbing, Li, Nan, Yin, Peng. A Novel Framework Integrating AI Model and Enzymological Experiments Promotes Identification of SARS-CoV-2 3CL Protease Inhibitors and Activity-based Probe. Briefings in Bioinformatics[J]. 2021, http://arxiv.org/abs/2105.14224.[3] Hu, Fan, Jiang, Jiaxin, Wang, Dongqi, Zhu, Muchun, Yin, Peng. Multi-PLI: interpretable multi-task deep learning model for unifying protein-ligand interaction datasets. JOURNAL OF CHEMINFORMATICS[J]. 2021, 13(1): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051026/.[4] Hu, Fan, Jiang, Jiaxin, Yin, Peng. Prediction of potential commercially inhibitors against SARS-CoV-2 by multi-task deep model. 2021, http://arxiv.org/abs/2003.00728.[5] Yin, Peng, Meng, Juan, Chen, Jincheng, Gao, Junxiao, Wang, Dongqi, Liu, Shuyan, Guo, Qinglong, Zhu, Muchun, Zhang, Gengwei, Liu, Yingxia, Li, Ye, Zhang, Guoliang. Antiviral drugs arbidol and interferon alpha-1b contribute to reducing the severity of COVID-19 patients: a retrospective cohort study. VIROLOGY JOURNAL[J]. 2021, 18(1): http://dx.doi.org/10.1186/s12985-021-01617-w.[6] 殷鹏. Structure Enhanced Protein-Drug Interaction Prediction using Transformer and Graph Embedding. IEEE International Conference on Bioinformatics and Biomedicine. 2020, [7] 殷鹏. Generating Novel Compounds Targeting SARS-CoV-2 Main Protease Based on Imbalanced Dataset. IEEE International Conference on Bioinformatics and Biomedicine. 2020, [8] Turner, Richard M, Fontana, Vanessa, Zhang, Jieying E, Carr, Daniel, Yin, Peng, FitzGerald, Richard, Morris, Andrew P, Pirmohamed, Munir. A Genome-wide Association Study of Circulating Levels of Atorvastatin and Its Major Metabolites. CLINICAL PHARMACOLOGY & THERAPEUTICS[J]. 2020, 108(2): 287-297, https://www.webofscience.com/wos/woscc/full-record/WOS:000524906400001.[9] Yin, Peng, Shi, Jian Q. Simulation-based sensitivity analysis for non-ignorably missing data. STATISTICAL METHODS IN MEDICAL RESEARCH[J]. 2019, 28(1): 289-308, [10] Zhang, Haiping, Liao, Linbu, Saravanan, Konda Mani, Yin, Peng, Wei, Yanjie. DeepBindRG: a deep learning based method for estimating effective protein-ligand affinity. PEERJ[J]. 2019, 7: https://doaj.org/article/c3a06a2ffbe246f9ba02206d847ef4f2.[11] Hu, Fan, Jiang, Jiaxin, Yin, Peng, Yoo, IH, Bi, JB, Hu, X. Interpretable Prediction of Protein-Ligand Interaction by Convolutional Neural Network. 2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)null. 2019, 656-659, [12] Zhang, Jianye, Yin, Peng, Yoo, IH, Bi, JB, Hu, X. Multivariate Time Series Missing Data Imputation Using Recurrent Denoising Autoencoder. 2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)null. 2019, 760-764, [13] Hawcutt, Daniel B, Francis, Ben, Carr, Daniel F, Jorgensen, Andrea L, Yin, Peng, Wallin, Naomi, OHara, Natalie, Zhang, Eunice J, Bloch, Katarzyna M, Ganguli, Amitava, Thompson, Ben, McEvoy, Laurence, Peak, Matthew, Crawford, Andrew A, Walker, Brian R, Blair, Joanne C, Couriel, Jonathan, Smyth, Rosalind L, Pirmohamed, Munir. Susceptibility to corticosteroid-induced adrenal suppression: a genome-wide association study. LANCET RESPIRATORY MEDICINE[J]. 2018, 6(6): 442-450, https://www.webofscience.com/wos/woscc/full-record/WOS:000433245200027.[14] Smith, Eve M D, Yin, Peng, Jorgensen, Andrea L, Beresford, Michael W, UK JSLE Study Grp. Clinical predictors of proteinuric remission following an LN flare - evidence from the UK JSLE cohort study. PEDIATRIC RHEUMATOLOGY[J]. 2018, 16: http://ir.siat.ac.cn:8080/handle/172644/14028.[15] Wang, Shuqiang, Shen, Yanyan, Shi, Changhong, Yin, Peng, Wang, Zuhui, Cheung, Prudence WingHang, Cheung, Jason Pui Yin, Luk, Keith DipKei, Hu, Yong. Skeletal Maturity Recognition Using a Fully Automated System With Convolutional Neural Networks. IEEE ACCESS[J]. 2018, 6: 29979-29993, https://doaj.org/article/7c8c80d929a94f798fd09a9ee34b57c3.[16] Smith, E M D, Yin, P, Jorgensen, A L, Beresford, M W. Clinical predictors of active LN development in children - evidence from the UK JSLE Cohort Study. LUPUS[J]. 2018, 27(13): 2020-2028, http://ir.siat.ac.cn:8080/handle/172644/14046.[17] Thiesen, Signe, Yin, Peng, Jorgensen, Andrea L, Zhang, Jieying E, Manzo, Valentina, McEvoy, Laurence, Barton, Christopher, Picton, Susan, Bailey, Simon, Brock, Penelope, Vyas, Harish, Walker, David, Makin, Guy, Bandi, Srinivas, Pizer, Barry, Hawcutt, Daniel B, Pirmohamed, Munir. TPMT, COMT and ACYP2 genetic variants in paediatric cancer patients with cisplatin-induced ototoxicity. PHARMACOGENETICS AND GENOMICS[J]. 2017, 27(6): 213-222, [18] 殷鹏. Investigating the prevalence, predictors and prognosis of suboptimal statin therapy early after a non-ST elevation acute coronary syndrome. Journal of Clinical Lipidology. 2017, [19] Wei, Dan, Peng, Yin, Wei, Yanjie, Jiang, Qingshan, Fang, Jinglong. A hybrid method for splice site prediction based on Markov model and codon information. INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS[J]. 2016, 16(4): 345-362, http://www.chinair.org.cn/handle/1471x/1747894.[20] Francis, Ben, Yin, Peng, Cook, James, Jorgensen, Andrea, Hutton, Jane, Morris, Andrew. A Genome-Wide two-Component Mixture Model Expectation-Maximization Algorithm for Time to Event Data. GENETIC EPIDEMIOLOGYnull. 2016, 40(7): 637-637, https://www.webofscience.com/wos/woscc/full-record/WOS:000386034800083.[21] 殷鹏. Study on the Optimal Mode of Foreign Investment Based on Simulated Annealing Algorithm. Journal of Computational and Theoretical Nanoscience. 2016, [22] Yin, Peng, Jorgensen, Andrea, Morris, Andrew, Turner, Richard, Fitzgerald, Richard, Stables, Rod, Hanson, Anita, Pirmohamed, Munir. SNP-Treatment Interactions of Cardiovascular Medications and Risk of Acute Coronary Syndrome Recurrence. GENETIC EPIDEMIOLOGYnull. 2016, 40(7): 672-672, https://www.webofscience.com/wos/woscc/full-record/WOS:000386034800176.[23] 殷鹏. Pharmacogenetics on the time to acute coronary syndrome recurrence (PhACS): a UK cohort study. Hum Hered. 2016, [24] Lu, H, Yin, P, Yue, R X, Shi, J Q. Robust confidence intervals for trend estimation in meta-analysis with publication bias. JOURNAL OF APPLIED STATISTICS[J]. 2015, 42(12): 2715-2733, https://www.webofscience.com/wos/woscc/full-record/WOS:000365609900015.[25] Yin, Peng, Jorgensen, Andrea, Morris, Andrew P, Turner, Richard, Fitzgerald, Richard, Stables, Rod, Hanson, Anita, Pirmohamed, Munir. Pharmacogenetics of Acute Coronary Syndrome. GENETIC EPIDEMIOLOGYnull. 2015, 39(7): 596-596, https://www.webofscience.com/wos/woscc/full-record/WOS:000363340500186.