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QuaternaryProd (version 1.0.2)

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

Description

QuaternaryProd is an R package that performs causal reasoning on biological networks, including publicly available networks such as String-db. QuaternaryProd is a free alternative to commercial products such as Quiagen and Inginuity pathway analysis. For a given a set of differentially expressed genes, QuaternaryProd computes the significance of upstream regulators in the network by performing causal reasoning using the Quaternary Dot Product Scoring Statistic (Quaternary Statistic), Ternary Dot product Scoring Statistic (Ternary Statistic) and Fisher's exact test. The Quaternary Statistic handles signed, unsigned and ambiguous edges in the network. Ambiguity arises when the direction of causality is unknown, or when the source node (e.g., a protein) has edges with conflicting signs for the same target gene. On the other hand, the Ternary Statistic provides causal reasoning using the signed and unambiguous edges only. The Vignette provides more details on the Quaternary Statistic and illustrates an example of how to perform causal reasoning using String-db.

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Version

Version

1.0.2

License

GPL (>=3)

Maintainer

Carl Tony Fakhry

Last Published

February 15th, 2017

Functions in QuaternaryProd (1.0.2)

QP_Support

Computes the support for the scores.
QP_SigPvalue

Computes the p-value for a statistically significant score.
BioQCREtoNet

Compute the Quaternary Dot Product Scoring Statistic for a biological causal network.
QP_Probability

Computes the probability of a score.
QP_Pvalue

Computes the p-value of a score.
QuaternaryProd-package

Computes the Quaternary Dot Product Scoring Statistic for Signed and Unsigned Causal Graphs
QP_Pmf

Computes the probability mass function of the scores.