Additional file 2 of Machine learning assists prediction of genes responsible for plant specialized metabolite biosynthesis by integrating multi-omics data

Additional file 2: Data S1. Original data for Arabidopsis thaliana. Data S2. The detailed description of features that utilized in this study. Data S3. Gold standard data for Arabidopsis thaliana (AT), Solanum lycopersicum (Solyc) and Zea mays B73 (Zm). Data S4. Values of each gene for genomic features for Arabidopsis thaliana. Data S5. Values of each gene for transcriptomic features for Arabidopsis thaliana. Data S6. Values of each gene for epigenomic features for Arabidopsis thaliana. Data S7. Values of each gene for proteomic features for Arabidopsis thaliana. Data S8. Feature importance for genomic. Data S9. Feature importance for transcriptomic. Data S10. Feature importance for epigenomic. Data S11. Feature importance for proteomic. Data S12. Features of each gene and performance in predicting enzymes synthesizing PSM in grape. Data S13. Features of each gene and performance in predicting enzymes synthesizing PSM in Papaver somniferum.