Man pages for whirlsyu/EnMCB
Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models
| as.data.frame.ridgemat | data frame ridge matrix |
| as.ridgemat | ridge matrix |
| CompareMCB | Compare multiple methylation correlated blocks lists |
| create_demo | create demo matrix |
| demo_data | Expression matrix of demo dataset. |
| demo_MCBinformation | MCB information. |
| demo_survival_data | Survival data of demo dataset. |
| DiffMCB | Differential expressed methylation correlated blocks |
| draw_survival_curve | draw survival curve |
| ensemble_model | Trainging stacking ensemble model for Methylation Correlation... |
| ensemble_prediction | fitting function using stacking ensemble model for... |
| fast_roc_calculation | Fast calculation of AUC for ROC using parallel strategy |
| IdentifyMCB | Identification of methylation correlated blocks |
| IdentifyMCB_parallel | Identification of methylation correlated blocks with parallel... |
| metricMCB | Calculation of the metric matrix for Methylation Correlation... |
| metricMCB.cv | Calculation of model AUC for Methylation Correlation Blocks... |
| multi_coxph | multivariate survival analysis using coxph |
| predict.mcb.coxph.penal | predict coxph penal using MCB |
| pre_process_methylation | Preprocess the Beta value matrix |
| univ_coxph | univariate and multivariate survival analysis using coxph |
