Additional file 4: of Model based on GA and DNN for prediction of mRNA-Smad7 expression regulated by miRNAs in breast cancer
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https://springernature.figshare.com/articles/Additional_file_4_of_Model_based_on_GA_and_DNN_for_prediction_of_mRNA-Smad7_expression_regulated_by_miRNAs_in_breast_cancer/7532474/1
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Regression models not function adjusted to dataset. Regression models results. The best overall performance is from squared exponential Gaussian process regression with R2 = 0.12 and MSE = 0.014077. (XLS 30 kb)
未针对该数据集进行函数适配的回归模型。回归模型实验结果显示，整体性能最优的为平方指数高斯过程回归（squared exponential Gaussian process regression），其决定系数R²为0.12，均方误差（Mean Squared Error，MSE）为0.014077。（XLS格式，30 KB）
提供机构：
Dora-Luz Flores
创建时间：
2018-12-30
