Inference of co-expression gene network using relevance low order partial correlation from large scale expression data

adj2rankadj | Convert network matrix to network rank matrix |

adjmatrix2edgelist | Convert network matrix to edge list |

anova2de | Use ANOVA to filter low epxressed genes |

average.consensus | Consensus network integrated from average edge ranks |

confusion | Statistical derivations of confusinon table |

cor2mi | Convert correlation matrix to MI matrix |

cor2statistics | Convert correlation to statistical significance measures. |

edgelist2adjmatrix | Convert edge list to network matrix |

firstPC | First order partial correlation |

fit.structure | Calculate structural fitness of networks |

gnwdata | Synthetic data sources simulated using GeneNetWeaver |

LowPC | Low order partial correlation |

node.degree | Calculate degree of nodes in gene networks |

plotAUC | Plot AUC curves |

random.net | Resort datasets and generate random networks |

RLowPC | Relevance low order partial correlation |

secondPC | Second order partial correlation |

shared.neighbour | Extract shared neihbour genes |

table.cut | Cut the confusion table at threshods |

table.evaluate | Evaluation of inferred gene networks |

zeroPC | Zero order partial correlation |

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