QP_Support: Computes the support for the scores.

In QuaternaryProd: Computes the Quaternary Dot Product Scoring Statistic for Signed and Unsigned Causal Graphs

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)

QuaternaryProd documentation built on Nov. 8, 2020, 8:23 p.m.