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 |

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