Interactive Visualization of Integrated Differential Expression and Differential Network Analysis for Biomarker Candidate Selection

choose_rho | Draw error curve |

compute_cor | Compute the correlation |

compute_dns | Calculate the differential network score |

compute_edge_weights | Compute edge weights |

compute_par | Compute the partial correlation |

compute_pvalue_edge | Compute p-value for edges |

compute_pvalue_edge_fdr | Compute fdr p-value for edges |

INDEED | INDEED: A network-based method for cacner biomarker... |

loglik_ave | Create log likelihood error |

Met_Group_GU | Group label. |

Met_GU | GU cirrhosis (CIRR) and GU hepatocellular carcinoma (HCC)... |

Met_name_GU | KEGG ID |

network_display | Interactive Network Visualization |

non_partial_cor | Non-partial correlation analysis |

partial_cor | Partial correlation analysis |

permutation_cor | Permutations to build a differential network based on... |

permutation_pc | Permutations to build differential network based on partial... |

permutation_thres | Calculate the positive and negative thresholds based on the... |

pvalue_logit | Obtain p-values using logistic regression |

pvalue_M_GU | P-values obtained by differential expression (DE) analysis. |

select_rho_partial | Data preprocessing for partial correlation analysis |

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