Description Usage Arguments Value Author(s) References Examples

View source: R/generate_mu_std_pval.R

Performs differential network analysis for paired biological networks to identify statistically significant changes between two graphs. Currently, the approaches available for doing this include the "closed-form", "original" (dGHD) and the "fast-approx" techniques described in the paper of Mall et al. The methods works better for large-scale complex biological networks (in pairs).

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`g_A` |
An igraph object representing graph g_A |

`g_B` |
An igraph object representing the second graph B with same number of nodes. |

`p` |
Represents the number of nodes in graph g_A which is the same as number of nodes in graph g_B |

`threshold` |
Threshold after which the "closed-form" and "fast-approx" techniques switch to use a model selection criterion similar to the "original" approach to identify statistically significant changes between two networks. By default its value is 1e-250 and a good range for this value is between 1e-50 to 1e-250. |

`approach` |
Either "closed-form"/"original"/"fast-approx". By default its "closed-form" |

An ordered vector representing the p-value for each node. Nodes whose p-values are less than 0.01 form the differential sub-networks in paired graphs g_A and g_B.

Raghvendra Mall <rmall@hbku.edu.qa>

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