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Identification of encoding proteins related to SARS-CoV

机译:鉴定与SARS-CoV相关的编码蛋白

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摘要

By sampling 100 encoding proteins from SARS-coronavirus (SARS-CoV, NC 004718) and other six coronaviruses and selecting 23 variables through stepwise multiple regression (SMR) from 172 variables, the multiple linear regression (MLR) model was established with good results of the quantitative modelling correlation coefficient R2 = 0.645 and the cross-validation correlation coefficient R_(CV)~2 = 0.375. After removing 4 outliers, the quantitative modelling and cross-validation correlation coefficientswere R~2 = 0.743 and R_(CV)~2= 0.543, respectively.
机译:通过从SARS冠状病毒(SARS-CoV,NC 004718)和其他六种冠状病毒中采样100种编码蛋白,并从172个变量中通过逐步多元回归(SMR)选择23个变量,建立了多元线性回归(MLR)模型,其结果令人满意定量建模相关系数R2 = 0.645,交叉验证相关系数R_(CV)〜2 = 0.375。去除4个离群值后,定量建模和交叉验证相关系数分别为R〜2 = 0.743和R_(CV)〜2 = 0.543。

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