This function calculates topological overlap of a subset of vectors with respect to a whole data set.
subsetTOM(
datExpr,
subset,
corFnc = "cor", corOptions = "use = 'p'",
networkType = "unsigned",
power = 6,
verbose = 1, indent = 0)
a data frame containing the expression data of the whole set, with rows corresponding to samples and columns to genes.
a single logical or numeric vector giving the indices of the nodes for which the TOM is to be calculated.
character string giving the correlation function to be used for the adjacency
calculation. Recommended choices are "cor"
and "bicor"
, but other functions can be used as
well.
character string giving further options to be passed to the correlation function.
character string giving network type. Allowed values are (unique abbreviations of)
"unsigned"
, "signed"
, "signed hybrid"
. See adjacency
.
soft-thresholding power for network construction.
integer level of verbosity. Zero means silent, higher values make the output progressively more and more verbose.
indentation for diagnostic messages. Zero means no indentation, each unit adds two spaces.
A matrix of dimensions n*n
, where n
is the number of entries selected by block
.
This function is designed to calculated topological overlaps of small subsets of large expression data sets, for example in individual modules.
Bin Zhang and Steve Horvath (2005) "A General Framework for Weighted Gene Co-Expression Network Analysis", Statistical Applications in Genetics and Molecular Biology: Vol. 4: No. 1, Article 17
TOMsimilarity
for standard calculation of topological overlap.