基本信息
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个人简介
Yuying Xie’s research mainly focuses on the area of statistical machine learning and consists of two themes: the development of new statistical procedure for high dimensional network models using complex and noisy datasets, and the inference of association or causal relations among genes, external phenotypes, and intermediate phenotypes, such as gene expression levels and biomarker concentrations.
Xie obtained his B.S. in biology from Fudan University, China. He then attended the University of North Carolina at Chapel Hill, where he received his first Ph.D. in genetics under Professor David Threadgill and his second Ph.D. in statistics under Professors Yufeng Liu and William Valdar. During his statistics Ph.D., he was also a graduate fellow at the Statistical and Applied Mathematical Sciences Institute.
Xie obtained his B.S. in biology from Fudan University, China. He then attended the University of North Carolina at Chapel Hill, where he received his first Ph.D. in genetics under Professor David Threadgill and his second Ph.D. in statistics under Professors Yufeng Liu and William Valdar. During his statistics Ph.D., he was also a graduate fellow at the Statistical and Applied Mathematical Sciences Institute.
研究兴趣
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SCIENCEno. 6678 (2024): 62-70
Science (New York, N.Y.)no. 6678 (2024): 62-70
Wang Gong,Hülya Taner, Yuesong Wu, Zaiye Li, Wanqing Cheng,Christopher Donnelly, Felipe Nör, Yumin He,Zackary Fitzsimonds, Jianqian Li,Haitao Wen, Steven Chinn,
Cancer Researchno. 6_Supplement (2024): 3927-3927
Advanced Scienceno. 18 (2024): n/a-n/a
Kaixin Liang,Katherine C Barnett, Martin Hsu,Wei-Chun Chou, Sachendra S Bais, Kristina Riebe,Yuying Xie, Tuong Thien Nguyen,Thomas H Oguin,Kevin M Vannella, Stephen M Hewitt,Daniel S Chertow,
Science immunologyno. 97 (2024): eadn0178-eadn0178
Advanced science (Weinheim, Baden-Wurttemberg, Germany)no. 18 (2024): e2310065-e2310065
Advanced Science (2024)
ADVANCED SCIENCE (2024)
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