Description Usage Arguments Details Value Author(s) References Examples
View source: R/networkstability.R
Estimate of detect module stability
1 2 3 4 5 6 7 8 9 | network.stability(
data.input,
threshold,
B = 20,
cor.method,
large.size,
PermuNo,
scheme_2 = FALSE
)
|
data.input |
a |
threshold |
a |
B |
number of bootstrap re-samplings |
cor.method |
the correlation method applied to the data set,three method are available: |
large.size |
the smallest set of modules, the |
PermuNo |
number of random graphs for null |
scheme_2 |
|
This function estimates the modules' stability through bootstrapping approach for the given threshold. The approach to stability estimation is to compare the module composition of the reference correlation graph to the various bootstrapped correlation graphs, and to assess the stability at the (1) node-level, (2) module-level, and (3) overall.
stabilityresult
a list
of result for nodes-wise stability
modularityresult
list
of modularity information with the given threshold
jaccardresult
list
estimated unconditional observed stability and
the estimates of expected stability under the null
originalinformation
list
information for original data,
igraph object and adjacency matrix constructed with the given threshold
Mingmei Tian
A framework for stability-based module detection in correlation graphs. Mingmei Tian,Rachael Hageman Blair,Lina Mu, Matthew Bonner, Richard Browne and Han Yu.
1 2 3 4 5 6 7 8 9 10 11 |
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