Model selection.
收藏Figshare2021-09-27 更新2026-04-28 收录
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For each model, described in S1 Text, the goodness of fit is evaluated by the squared Pearson correlation coefficient between experimental and fitted data (R2), and the quality of the models is evaluated by the log-likelihood (−2 ⋅ log(L)) and Akaike information criterion (AIC) from a linear model between experimental and fitted data. (ZIP)
创建时间：
2021-09-27
