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. 2015 Apr 8;5(3):277–284. doi: 10.1016/j.apsb.2015.02.001

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© 2015 Chinese Pharmaceutical Association and Institute of Materia Medica, Chinese Academy of Medical Sciences. Production and hosting by Elsevier B.V.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Prediction model for cerebral infarction built based on the differential metabolites using multiple regression analysis. (A) Model built using the enter selection method (n=30). (B) Results of the covariance analysis of predicted and observed infarct volumes in MCAO rats, with the predicted infarct volume calculated using the equation in panel A (n=10). (C) Model built using the stepwise selection method (n=30). (D) Results of the covariance analysis of predicted and observed infarct volumes in MCAO rats, with the predicted infarct volume calculated using the equation in panel C (n=10).