# Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

## Documentation for package ‘EnMCB’ version 1.16.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

anno_matrix | IlluminaHumanMethylation450kanno
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 Block
ensemble_prediction | fitting function using stacking ensemble model for Methylation Correlation Block
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 algorithm
metricMCB | Calculation of the metric matrix for Methylation Correlation Block
metricMCB.cv | Calculation of model AUC for Methylation Correlation Blocks using cross validation
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