View source: R/network_comparison.R
module_preservation | R Documentation |
Calculate network preservation between two expression data sets
module_preservation(
explist,
ref_net = NULL,
test_net = NULL,
algorithm = "netrep",
nPerm = 1000,
nThreads = 1
)
explist |
List of SummarizedExperiment objects or expression data frames with genes (or orthogroups) in row names and samples in column names. |
ref_net |
Reference network object returned by
the function |
test_net |
Test network object returned by the function |
algorithm |
Module preservation algorithm to be used. One of 'netrep' (default, permutation-based) or WGCNA. |
nPerm |
Number of permutations. Default: 1000 |
nThreads |
Number of threads to be used for parallel computing. Default: 1 |
A list containing the preservation statistics (netrep) or a ggplot
object with preservation statistics.
See WGCNA::modulePreservation
or NetRep::modulePreservation
for more info.
set.seed(1)
data(og.zma.osa)
data(zma.se)
data(osa.se)
og <- og.zma.osa
exp_ortho <- exp_genes2orthogroups(explist, og, summarize = "mean")
exp_ortho <- lapply(exp_ortho, function(x) filter_by_variance(x, n=1500))
# Previously calculated SFT powers
powers <- c(13, 15)
gcn_osa <- exp2gcn(exp_ortho$osa, net_type = "signed hybrid",
SFTpower = powers[1], cor_method = "pearson")
gcn_zma <- exp2gcn(exp_ortho$zma, net_type = "signed hybrid",
SFTpower = powers[2], cor_method = "pearson")
explist <- exp_ortho
ref_net <- gcn_osa
test_net <- gcn_zma
# 10 permutations for demonstration purposes
pres <- module_preservation(explist, ref_net, test_net, nPerm=10)
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