M
Mi Liu
Researcher at Chinese Academy of Sciences
Publications - 5
Citations - 186
Mi Liu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Influenza A virus & Medicine. The author has an hindex of 2, co-authored 2 publications receiving 160 citations. Previous affiliations of Mi Liu include Peking Union Medical College.
Papers
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Journal ArticleDOI
Sequential Reassortments Underlie Diverse Influenza H7N9 Genotypes in China
Aiping Wu,Chunhu Su,Dayan Wang,Yousong Peng,Mi Liu,Sha Hua,Tianxian Li,George F. Gao,Hong Tang,Jianzhu Chen,Jianzhu Chen,Xiufan Liu,Yuelong Shu,Daxin Peng,Taijiao Jiang,Taijiao Jiang +15 more
TL;DR: An in-depth evolutionary analysis of whole-genome sequence data of 45 H7N9 and 42 H9N2 viruses isolated from humans, poultry, and wild birds during recent influenza surveillance efforts in China shows that the H7n9 viruses were generated by at least two steps of sequential reassortments involving distinct H 9N2 donor viruses in different hosts.
Journal ArticleDOI
Antigenic Patterns and Evolution of the Human Influenza A (H1N1) Virus
Mi Liu,Xiang Zhao,Sha Hua,Xiangjun Du,Yousong Peng,Xiyan Li,Yu Lan,Dayan Wang,Aiping Wu,Aiping Wu,Yuelong Shu,Taijiao Jiang,Taijiao Jiang +12 more
TL;DR: Three of the eight antigenic clusters were detected in South China earlier than in North China, indicating the leading role of South China in H1N1 transmission, and can help formulate better strategy for its prevention and control.
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Surveillance of avian influenza viruses in live bird markets of Shandong province from 2013 to 2019
Tiffany Yi-Chen Liu,Yousong Peng,Julong Wu,S Lu,Yujie He,Xiyan Li,Lin Sun,Shao-Xia Song,Shengyang Zhang,Zhong Li,Xianjun Wang,Shu Ping Zhang,Mi Liu,Zengqiang Kou +13 more
TL;DR: Wang et al. as discussed by the authors reported the long-term surveillance of AIVs in the live bird market (LBM) of 16 cities in Shandong province from 2013 to 2019.
Journal ArticleDOI
Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses.
TL;DR: In this article , the authors developed a model to predict antigenic relationships between H1N1pdm viruses and identify antigenic clusters for post-2009 pandemic H 1N1 strains.
Journal ArticleDOI
PIAT: An Evolutionarily Intelligent System for Deep Phenotyping of Chinese Electronic Health Records
TL;DR: An intelligent annotation tool named PIAT is developed with a major focus on the deep phenotyping of Chinese EHRs and can improve the annotation efficiency for EHR-based deep phenotypesing with a simple but effective interactive interface, automatic preannotation support, and a learning mechanism.