View source: R/gcn_inference.R
module_stability | R Documentation |
Perform module stability analysis
module_stability(exp, net, nRuns = 20)
exp |
A gene expression data frame with genes in row names and samples in column names or a 'SummarizedExperiment' object. |
net |
List object returned by |
nRuns |
Number of times to resample. Default is 20. |
A base plot with the module stability results.
sampledBlockwiseModules
data(filt.se)
filt <- filt.se[1:100, ] # reducing even further for testing purposes
# The SFT fit was previously calculated and the optimal power was 16
gcn <- exp2gcn(filt, SFTpower = 16, cor_method = "pearson")
# For simplicity, only 2 runs
module_stability(exp = filt, net = gcn, nRuns = 2)
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