This function calculates standard errors for edge-wise partial correlation differences obtained from DINGO model.
scoring.boot(stddat,z,Omega,A,B,boot.B=100,verbose=T)standardized nxp data with colnames as genename
a length n vector representing a binary covariate
a p x p precision matrix for std dat which implies the global network
p x p matrix of the MLE for the baseline covariance matrix which is obtained from A value of the Greg.em function.
p x 2 matrix of the MLE for the regression coefficient which is obtained from B value of the Greg.em function
a scalar indicating the number of bootstraps
if TRUE, lists the bootstrap replications
a p(p-1)/2 x 2 matrix indicating all pairs of genes
a length 2 vector indicating levels of the binary covariate z, the first element is for group 1 and the second element is for group 2
a length p(p-1)/2 vector indicating partial correlations for group 1 and the order is corresponding to the order of genepair
a length p(p-1)/2 vector indicating partial correlations for group 2 and the order is corresponding to the order of genepair
a p(p-1)/2 x boot.B matrix indicating bootstrapped difference, Fisher's Z transformed R1 - R2. The rows are corresponding to the order of gene pair and the columns are corresponding to the bootstrap samples
a p(p-1)/2 vector of differential score corresponding to genepair
a p(p-1)/2 vector of corrected p-values corresponding to genepair