Predicting Disease Progression Based on Methylation Correlated Blocks using Ensemble Models

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Documentation for package ‘EnMCB’ version 1.21.0

• 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