QP_Support {QuaternaryProd} | R Documentation

## Computes the support for the scores.

### Description

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.

### Usage

    QP_Support(q_p, q_m, q_z, q_r, n_p, n_m, n_z)

### Arguments

`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.

### Value

Integer vector of support.

### Author(s)

Carl Tony Fakhry, Ping Chen and Kourosh Zarringhalam

### References

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'.

### Examples

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

[Package QuaternaryProd version 1.16.0 Index]