Additional file 1 of A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs

Additional file 1: Figure S1. The data processing procedure for disease-lncRNA association instances. Figure S2. The AUC values for 10 realizations on the dataset with 10% incorrect data. Figure S3. The box plots from 50 random splits experiment on a dataset with 10% incorrect data. Table S1. The experimental results on a dataset lacking some omics data. Table S2. The supporting literature of Top 15 gastric cancer-associated LncRNAs predicted by LGDLDA. Table S3. The confirmed databases of Top 15 breast cancer-associated LncRNAs predicted by LGDLDA. Table S4. The supporting literature of Top 15 breast cancer-associated LncRNAs predicted by LGDLDA. Table S5. The confirmed databases of Top 15 prostate cancer-associated LncRNAs predicted by LGDLDA. Table S6. The supporting literature of Top 15 prostate cancer-associated LncRNAs predicted by LGDLDA. Table S7. Summary of data sets used by each matrix.