Description Objects from the Class Slots Methods References Examples
Test whether the overall modular structure differs between the two networks.
Objects can be created by calls of the form new("resultsModTest", ...)
.
p.value
:Object of class "numeric"
~~
N
:Object of class "numeric"
~~
modules1
:Object of class "modules"
~~
modules2
:Object of class "modules"
~~
signature(object = "resultsModTest")
: returns the p-value, test statistic, and the modules for each network for a test for overall modular structure.
signature(x = "resultsModTest")
: summarizes the test for modular structure by summarizing the modules in each network and listing the test statistic and the p-value.
signature(object = "resultsModTest")
: summarizes the test for modular structure by summarizing the modules in each network and listing the test statistic and the p-value.
Gill, R., Datta, S., and Datta, S. (2010) A statistical framework for differential network analysis from microarray data. BMC Bioinformatics, 11, 95.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | # small example illustrating test procedures
X1=rbind(
c(2.5,6.7,4.5,2.3,8.4,3.1),
c(1.2,0.7,4.0,9.1,6.6,7.1),
c(4.3,-1.2,7.5,3.8,1.0,9.3),
c(9.5,7.6,5.4,2.3,1.1,0.2))
colnames(X1)=paste("G",1:6,sep="")
X2=rbind(
c(4.5,2.4,6.8,5.6,4.5,1.2,4.5),
c(7.6,9.0,0.1,3.4,5.6,5.5,1.2),
c(8.3,4.5,7.0,1.2,4.3,3.7,6.8),
c(3.4,1.1,6.9,7.2,3.1,0.9,6.6),
c(3.4,2.2,1.3,5.5,9.8,6.7,0.6))
colnames(X2)=paste("G",8:2,sep="")
# perform a test for modular structure using a minimum module size of 2
# and threshold of .5 with PLS connectivity scores
## Not run: test.modular.structure(X1,X2,min.module.size=2)
## Not run: summary(tms)
# extract results for a test of modular structure
## Not run: results.tms=get.results(tms)
## Not run: results.tms
|
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