subsetTOM | R Documentation |
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'",
weights = NULL,
networkType = "unsigned",
power = 6,
verbose = 1, indent = 0)
datExpr |
a data frame containing the expression data of the whole set, with rows corresponding to samples and columns to genes. |
subset |
a single logical or numeric vector giving the indices of the nodes for which the TOM is to be calculated. |
corFnc |
character string giving the correlation function to be used for the adjacency
calculation. Recommended choices are |
corOptions |
character string giving further options to be passed to the correlation function. |
weights |
optional observation weights for |
networkType |
character string giving network type. Allowed values are (unique abbreviations of)
|
power |
soft-thresholding power for network construction. |
verbose |
integer level of verbosity. Zero means silent, higher values make the output progressively more and more verbose. |
indent |
indentation for diagnostic messages. Zero means no indentation, each unit adds two spaces. |
This function is designed to calculated topological overlaps of small subsets of large expression data sets, for example in individual modules.
A matrix of dimensions n*n
, where n
is the number of entries selected by block
.
Peter Langfelder
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.
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