Description Usage Arguments Details Value Author(s) References See Also
Calculation of the unsigned network adjacency from expression data. The restricted set of parameters for this function should allow a faster and less memory-hungry calculation.
1 2 3 4 5 | unsignedAdjacency(
datExpr,
datExpr2 = NULL,
power = 6,
corFnc = "cor", corOptions = "use = 'p'")
|
datExpr |
expression data. A data frame in which columns are genes and rows ar samples. Missing values are ignored. |
datExpr2 |
optional specification of a second set of expression data. See details. |
power |
soft-thresholding power for network construction. |
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 |
The correlation function will be called with arguments datExpr, datExpr2
plus any extra
arguments given in corOptions
. If datExpr2
is NULL
,
the standard correlation functions will calculate the corelation of columns in datExpr
.
Adjacency matrix of dimensions n*n
, where n
is the number of genes in datExpr
.
Steve Horvath and 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
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