Additional file 1: of RNA-seq assistant: machine learning based methods to identify more transcriptional regulated genes

Table S1. Primers for qPCR. Table S2. The list of all features considered prior to feature selection. Table S3. Training and testing data set used for machine learning. Table S4. Summary of feature evaluation. Table S5. Selected features via differential models. Table S6. AUC values of different feature selection methods with combination of different classification methods. Table S7. Predicted genes by the model based on InfoGain feature selection and Logistic Regression. Table S8. GO analysis of predicted genes. (ZIP 215 kb)