Selected article for: "independent cohort and sample size"
Author: Bo Shen; Xiao Yi; Yaoting Sun; Xiaojie Bi; Juping Du; Chao Zhang; Sheng Quan; Fangfei Zhang; Rui Sun; Liujia Qian; Weigang Ge; Wei Liu; Shuang Liang; Hao Chen; Ying Zhang; Jun Li; Jiaqin Xu; Zebao He; Baofu Chen; Jing Wang; Haixi Yan; Yufen Zheng; Donglian Wang; Jiansheng Zhu; Ziqing Kong; Zhouyang Kang; Xiao Liang; Xuan Ding; Guan Ruan; Nan Xiang; Xue Cai; Huanhuan Gao; Lu Li; Sainan Li; Qi Xiao; Tian Lu; Yi Judy Zhu; Huafen Liu; Haixiao Chen; Tiannan Guo
Title: Proteomic and Metabolomic Characterization of COVID-19 Patient Sera
  • Document date: 2020_4_7
    • ID: nifz133q_7
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10. 1101 /2020 Seven patients were correctly classified in the independent validation 301 cohort containing ten patients. Two of them could be explained by the 302 patients' complex comorbidity and medication history. The relatively small 303 sample size necessitates future validation studies in independent cohorts. 306 Our data shed light on the molecular c.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10. 1101 /2020 Seven patients were correctly classified in the independent validation 301 cohort containing ten patients. Two of them could be explained by the 302 patients' complex comorbidity and medication history. The relatively small 303 sample size necessitates future validation studies in independent cohorts. 306 Our data shed light on the molecular changes reflected in COVID-19 sera 307 which could potentially yield critical diagnostic markers or therapeutic targets 308 for managing severe COVID-19 patients ( Figure 5 ). These molecular the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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