Description Usage Arguments Value Author(s) References Examples

View source: R/UserFunctions.R

This function computes the support of the Quaternary Dot Product Scoring distribution for signed causal graphs. This includes all scores which have probabilities strictly greater than 0.

1 | ```
QP_Support(q_p, q_m, q_z, q_r, n_p, n_m, n_z)
``` |

`q_p` |
Expected number of positive predictions. |

`q_m` |
Expected number of negative predictions. |

`q_z` |
Expected number of nil predictions. |

`q_r` |
Expected number of regulated predictions. |

`n_p` |
Number of positive predictions from experiments. |

`n_m` |
Number of negative predictions from experiments. |

`n_z` |
Number of nil predictions from experiments. |

Integer vector of support.

Carl Tony Fakhry, Ping Chen and Kourosh Zarringhalam

Carl Tony Fakhry, Parul Choudhary, Alex Gutteridge, Ben Sidders, Ping Chen, Daniel Ziemek, and Kourosh Zarringhalam. Interpreting transcriptional changes using causal graphs: new methods and their practical utility on public networks. BMC Bioinformatics, 17:318, 2016. ISSN 1471-2105. doi: 10.1186/s12859-016-1181-8.

Franceschini, A (2013). STRING v9.1: protein-protein interaction networks, with increased coverage and integration. In:'Nucleic Acids Res. 2013 Jan;41(Database issue):D808-15. doi: 10.1093/nar/gks1094. Epub 2012 Nov 29'.

1 2 | ```
# Compute the support of the Quaternary Dot Product Scoring distribution with the given margins.
QP_Support(50,50,50,0,50,50,50)
``` |

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