楊屹 副研究員
Email: yygaosansiban@sina.com
辦公地點：bet356在线官方网站四牌樓校區李文正樓南207
個人簡介：
2008.9 — 2012.7 安徽大學數學與應用數學
2012.9 — 2015.7 首都經濟貿易大學統計學
2015.9 — 2020.1 上海财經大學統計學
2020.1 — 2023.1 新加坡國立大學Duke-NUS醫學院 博士後
2023.2 — 2023.7 香港中文大學（深圳）訪問
研究方向：研究領域生物統計學，主要通過數學與統計建模的方式去分析生物數據。一個方向是GWAS&TWAS, 通過建模去分析SNP或者基因和性狀的關系，揭示複雜性狀和SNP或者基因的相關性。另一個方向是通過建模去分析單細胞數據或者空間轉錄組數據，從而更好的對細胞進行聚類和标注。
代表作：（*代表共同一作； #代表通訊作者）
(1) Mai Chan Lau*, Yang Yi*, Denise Goh*, Chun Chau Lawrence Cheung*, Benedict Tan Jeffrey Chun Tatt Lim, Craig Ryan Joseph, Felicia Wee, Justina Nadia Lee, Xinru Lim, Chun Jye Lim, Wei Qiang Leow, Jing Yi Lee , Cedric Chuan Young Ng , Hamed Bashiri , Peng Chung Cheow, Chun Yip Chan, Ye Xin Koh, Thuan Tong Tan, Shirin Kalimuddin, Wai Meng David Tai , Jia Lin Ng , Jenny Guek-Hong Low, Tony Kiat Hon Lim Jin Liu and Joe Poh Sheng Yeong ”Case report: Understanding the impact of persistent tissue-localization of SARS-CoV-2 on immune response activity via spatial transcriptomic analysis of two cancer patients with COVID-19 co-morbidity.” Frontiers in Immunology) 2022, 13: 5376. (SCI, Impact Factor: 8.786: doi: https://doi.org/10.3389/fimmu.2022.978760).
(2) Yi Yang*, Xingjie Shi*, WeiLiu, Qiu zhong Zhou, Mai Chan Lau, Jeffrey Chun Tatt Lim, Lei Sun,Cedric Chuan Young Ng, Joe Yeong, Jin Liu. ”SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes.” Briefings in Bioinformatics. 2022, 23(1). (SCI, Impact Foctor: 11.622, doi: https://doi.org/10.1093/bib/bbab466)
(3) Yi Yang*, Kar-Fu Yeung*, Jin Liu. ”CoMM-S4: A Collaborative Mixed Model Using Summary-Level eQTL and GWAS Datasets in Transcriptome-Wide Association Studies.” Frontiers in Genetics, 12 (2021). (SCI, Impact Factor: 4.599: doi: https://doi.org/10.3389/fgene.2021.704538).
(4) Yi Yang, Xingjie Shi,Yuling Jiao, Jian Huang, Min Chen, Xiang Zhou, Lei Sun, Xinyi Lin, Can Yang, Jin Liu. ”CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies. ”Bioinformatics, 2020, 36(7): 2009-2016. (SCI, Impact Factor: 6.937 doi: https://doi.org/10.1093/bioinformatics/btz880,)。
(5) Yi Yang, Mingwei Dai, Jian Huang, Xinyi Lin, Can Yang, Min Chen & Jin Liu. ”LPG: A four-group probabilistic approach to leveraging pleiotropy in genome-wide association studies.” BMC genomics, 2018, 19(1): 1-11. (SCI Impact Factor: 3.969 doi:10.1186/s12864-018-4851-2,) .
