Edg2Fw: To compute F score from edge scores

In EGRNi: Ensemble Gene Regulatory Network Inference

To compute F score from edge scores

Description

Edg2Fw computes the F-score from edge score using Fisher's weighted method. One pair of genes with k numbers of edge scores obtained from k numbers of independent method are combined using the probability value. The weight matrix w contains the weight for k number of methods.

Usage

Edg2Fw(s, w, k)

Arguments

s	Matrix containing edge scores obtained from k numbers of methods with gene pairs in row and edge scores in column
w	Matrix containing weight for all individual methods
k	Numbers of independent methods considered for computing edge scores

Details

Edg2Fw function generates mixture distribution based on edge score for each method given column wise in s matrix. The probability value for each pair of gene obtained from mixture distribution are combined using Fisher's weighted method. The combined score Fw follows chi-square distribution with 2k degrees of freedom.

Value

Fw_sum matrix containing F score for significant gene pairs

Author(s)

Chiranjib Sarkar([e-mail])

References

Sarkar, C., Parsad, R., Mishra, D.C. and Rai, A. (2020). An ensemble approach for gene regulatory network study in rice blast. Journal of Crop and Weed , 16 , 1-8.

Examples

#load "EGRNi" library and Edge score data
library(EGRNi)
data(Edgescore)
data(weight)
Edg2Fw(Edgescore, weight, 4)

EGRNi documentation built on Nov. 18, 2022, 5:12 p.m.