杨屹 - 东南大学 - 生命科学与技术学院

个人简介

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

研究领域

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。

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

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, Joe Yeung, 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.