3 Papers
Xin Li is an academic researcher from Nanjing Medical University. The author has contributed to research in topics: Gene & Genome-wide association study. The author has an hindex of 1, co-authored 1 publications.
Chat about Author
Papers
Identification of Novel T1D Risk Loci and Their Association With Age and Islet Function at Diagnosis in Autoantibody-Positive T1D Individuals: Based on a Two-Stage Genome-Wide Association Study
Meng Zhu,Kuanfeng Xu,Yang Chen,Yong Gu,Mei Zhang,Feihong Luo,Yu Liu,Wei Gu,Ji Hu,Haixia Xu,Zhiguo Xie,Chengjun Sun,Yuxiu Li,Min Sun,Xinyu Xu,Hsiang Ting Hsu,Heng Chen,Qi Fu,Yun Shi,Jingjing Xu,Li Ji,Jin Liu,Lingling Bian,Jing Zhu,Shuang Chen,Lei Xiao,Xin Li,Hemin Jiang,Min Shen,Qianwen Huang,Chen Fang,Xia Li,Gan Huang,Jingyi Fan,Zhu Jiang,Yue Jiang,Juncheng Dai,Hongxia Ma,Shuai Zheng,Yun Cai,Hao Dai,Xuqin Zheng,Hongwen Zhou,Shining Ni,Guangfu Jin,Jin-Xiong She,Liping Yu,Constantin Polychronakos,Zhibin Hu,Zhiguang Zhou,Jianping Weng,Hongbing Shen,Tao Yang +52 more
TL;DR: This is the first two-stage GWAS of T1D using 2,596 autoantibody-positive T1d case subjects and 5,082 control subjects in a Chinese Han population and observed that the higher genetic risk score (GRS) were associated with an earlier age of T 1D diagnosis and lower fasting C-peptide levels in individuals newly diagnosed with T2D.
The LEA gene family in tomato and its wild relatives: genome-wide identification, structural characterization, expression profiling, and role of SlLEA6 in drought stress
TL;DR: In this article , the authors identify, characterize, and perform gene expression analysis of LEA protein families from cultivated and wild tomato species to mine candidate genes and determine their potential role in abiotic stress tolerance in tomatoes.
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li,Kai Zhang,Radu Timofte,Luc Van Gool,Fang Kong,Ming-Xing Li,Songwei Liu,Zongcai Du,Di Liu,Chenhui Zhou,Jing Chen,Qingrui Han,Zheyuan Li,Ying-Chieh Liu,Xiangyu Chen,Haoming Cai,Yuanjiao Qiao,Chao Dong,Long Sun,Jinshan Pan,Yingchun Zhu,Zhikai Zong,Xiaoxiao Liu,Zheng Hui,Tao Yang,Peiran Ren,Xuansong Xie,Xian-Sheng Hua,Yanbo J. Wang,Xiaozhong Ji,Chuming Lin,Donghao Luo,Ying Tai,Chengjie Wang,Zhizhong Zhang,Yuan Xie,Shen Cheng,Ziwei Luo,Lei Yu,Zhi-hong Wen,Qi Wu1,Youwei Li,Haoqiang Fan,Jian Sun,Shuaicheng Liu,Yuanfei Huang,Meiguang Jin,Huan Huang,Jing Liu,Xinjian Zhang,Yan Wang,Ling Yun Long,Gen Li,Zuo-yuan Cao,Lei Sun,Panaetov Alexander,Yucong Wang,Mi Cai,Li Fa Wang,Lu Tian,Zheyuan Wang,Hong-mei Ma,Jie Liu,Chao Chen,Yiyu Cai,Jie Tang,Gang Wu,Weiran Wang,Shi-Cai Huang,Honglei Lu,Huan Liu,Keyan Wang,Shi Chen,Yu-Hsuan Miao,Zimo Huang,Li Zhang,Mustafa Ayazouglu,Wei Xiong,Chengyi Xiong,Fei Wang,Hao Li,Rui Wen,Zhihao Yang,Wen Wu Zou,Wei Zheng,Tian-Chun Ye,Yuncheng Zhang,Xiangzhen Kong,Aditya Arora,Syed Waqas Zamir,Salman Khan,Munawar Hayat,Fahad Shahbaz Khan,Dan Ning,Jing Tang,Han Huang,Yufei Wang,Z. Peng,Hao Li,Wenxue Guan,Shengrong Gong,Xin Li,Jun Liu,Wan Jun Wang,Deng-Guang Zhou,Kun Zeng,Han-Yuan Lin,Xinyu Chen,Jin-Tao Fang +108 more
- 11 May 2022
TL;DR: The NTIRE 2022 challenge was to super-resolve an input image with a magnification factor of ×4 based on pairs of low and corresponding high resolution images and the aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics.