Description Usage Arguments Value Author(s) Examples
View source: R/get_quantiles.R
Use random sampling to get a large number of subnetworks and then calculate the distribution of the ratio between the edge-score term and node-score term
1 | get_quantiles(diff_expr, diff_coex, klist, pop_size)
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diff_expr |
The vector storing the F-statistics measuring the differential expression of each gene |
diff_coex |
The matrix storing the ECF-statistics measuring the differential correlation of each gene pair |
klist |
A vector of the sizes (number of genes) of random subnetworks to be sampled |
pop_size |
The number of random subnetworks to be sampled |
A list containing two components:
ratio |
The five quantiles of the log-ratios between the edge-score term and node-score term |
lambda |
The five quantiles of lambdas calculated based on the ratios |
Haisu Ma
1 2 3 4 5 6 | data(set1_scaled_diff)
klist<-c(20,25)
set1_quantile<-get_quantiles(diff_expr=set1_scaled_diff[[1]],
diff_coex=set1_scaled_diff[[2]],klist,pop_size=20)
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