Selected article for: "absolute value and adjust value"
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_25
    Snippet: The copyright holder for this preprint (which was not peer-reviewed) is Hochberg correction. The statistical significantly changed proteins or 811 metabolites were selected using the criteria of adjust p value less than 0.05 812 indicated and absolute log2 FC larger than 0.25. From the training cohort, the 813 important features were selected with mean decrease accuracy larger than 3 814 using random forest containing a thousand trees using R pac.....
    Document: The copyright holder for this preprint (which was not peer-reviewed) is Hochberg correction. The statistical significantly changed proteins or 811 metabolites were selected using the criteria of adjust p value less than 0.05 812 indicated and absolute log2 FC larger than 0.25. From the training cohort, the 813 important features were selected with mean decrease accuracy larger than 3 814 using random forest containing a thousand trees using R package 815 randomForest (version 4.6.14) random forest analysis with 10-fold cross

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