杨屹 上岗副研究员
Email: yygaosansiban@sina.com
办公地点:东南大学四牌楼校区李文正楼南207
教育及工作经历:
2023.8 — 现在 东南大学生命科学与技术学院副研究员
2023.2 — 2023.7 香港中文大学(深圳)访问学者
2020.1 — 2023.1 新加坡国立大学Duke-NUS医学院博士后
2015.9 — 2020.1 上海财经大学统计学
2012.9 — 2015.7 首都经济贸易大学统计学
2008.9 — 2012.7 安徽大学数学与应用数学
研究方向:
生物统计学,生物信息学。
研究方向一,空间转录组数据的分析和建模,主要是构建统计学模型来分析空间转录组数据,提高空间转录组数据的质控,聚类和标注的效果。
研究方向二,GWAS数据的分析和建模,主要是构建统计学模型来分析GWAS数据,探索和疾病和SNP之间的相关性。
在研项目:
国家自然科学基金青年基金项目,2025-2027年(无参考数据的二维/三维的空间转录组数据的反卷积研究,项目负责人)
代表作:(*代表共同一作; #代表通讯作者)
1) Peng Xie, Xu Jiang, Jingjing He, Qingyun Pan, Xianfa Yang, Yanying Zheng, Wenli Fan, Chen Wu, Weiheng Zheng, Ke Fang, Shuhan Si, Shiqi Zhu, Yi Yang, Tao P Zhong, Zhongzhou Yang, Ke Wei, Wei Xie, Naihe Jing#, Zhuojuan Luo#, Chengqi Lin#. Epigenetic delineation of the earliest cardiac lineage segregation by single-cell multi-omics [J]. eLife 2024
2) Guangyao Mao*, Yi Yang*, Zhuojuan Luo#, Chengqi Lin#,Peng Xie#. SpatialQC: transcriptome data automated quality control for spatial transcriptome data [J]. Bioinformatics, 2024: btae458.
3) Xingjie Shi*#, Yi Yang*, Xiaohui Ma, Yong Zhou, Zhenxing Guo, Chaolong Wang, Jin Liu#. Probabilistic cell/domain-type assignment of spatial transcriptomics data with SpatialAnno[J]. Nucleic Acids Research, 2023, 51(22): e115-e115.
4) 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.
5) 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).
6) 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).
7) 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.
8) 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.