Mei Hu, Sun Lili, Zhou Yuan, Xiong Qing, Li Zhiliang
1College of Chemistry and Chemical Engineering, Chongqing University, 400044 Chongqing, China.
Key Laboratory of Biomedical Engineering of Ministry of Education and Chongqing City, 400044 Chongqing, China.
Chin Sci Bull. 2004;49(19):2037-2040. doi: 10.1360/03wb0198.
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 = 0.645 and the cross-validation correlation coefficient = 0.375. After removing 4 outliers, the quantitative modelling and cross-validation correlation coefficients were = 0.743 and = 0.543, respectively.
通过从严重急性呼吸综合征冠状病毒（SARS-CoV，NC 004718）和其他六种冠状病毒中抽样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，定量建模相关系数 = 0.645，交叉验证相关系数 = 0.375，结果良好。去除4个异常值后，定量建模和交叉验证相关系数分别为 = 0.743和 = 0.543。
