qpTopPairs | R Documentation |
Report a top number of pairs of variables according to either some association measure and/or occurring in a given reference graph.
qpTopPairs(measurementsMatrix=NULL, refGraph=NULL, n=6L, file=NULL,
decreasing=FALSE, pairup.i=NULL, pairup.j=NULL,
annotation=NULL, fcOutput=NULL, fcOutput.na.rm=FALSE,
digits=NULL)
measurementsMatrix |
matrix containing the measure of association between all pairs of variables. |
refGraph |
a reference graph containing the pairs that should be reported
and provided either as an adjacency matrix, a |
n |
number of pairs to report, 6 by default, use |
file |
file name to dump the pairs information as tab-separated column text. |
decreasing |
logical; if TRUE then the measurements are employed to be ordered in decreasing order; if FALSE then in increasing order. |
pairup.i |
subset of vertices to pair up with subset |
pairup.j |
subset of vertices to pair up with subset |
annotation |
name of an annotation package to transform gene identifiers into gene symbols when variables correspond to genes. |
fcOutput |
output of |
fcOutput.na.rm |
flag set to TRUE when pairs with |
digits |
number of decimal digits reported in the values of |
The measurementsMatrix
should be symmetric and may have also contain
NA
values which will not be taken into account. That is an alternative
way to restricting the variable pairs with the parameters pairup.i
and
pairup.j
. The same holds for refGraph
. One of these two, should
be specified.
The ranking of pairs is invisibly returned.
R. Castelo
qpGraph
qpPrecisionRecall
qpFunctionalCoherence
qpTopPairs(matrix(runif(100), nrow=10, dimnames=list(1:10,1:10)))
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