| Edg2Fw {EGRNi} | R Documentation |
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(cschiranjib9@gmail.com)
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)