Description Usage Arguments Value See Also Examples
This functions predicts class labels or probabilities of unknown samples from a fitted "DRWPClassGM"
object.
1 | predict.DRWPClassGM(object, newx, type = c("class", "probability"))
|
object |
Fitted |
newx |
A matrix with variables to predict. |
type |
|
the predictions.
1 2 3 4 5 6 7 8 9 10 11 | data(GProf8511)
data(GProf3325)
data(MProf)
data(pathSet)
data(dGMGraph)
fit <- fit.DRWPClassGM(xG=GProf8511$mRNA_matrix, yG.class1=GProf8511$normal, yG.class2=GProf8511$PCA,
xM=MProf$Meta_matrix, yM.class1=MProf$normal, yM.class2=MProf$PCA, DEBUG=TRUE,
pathSet=pathSet, globalGraph=dGMGraph, testStatistic="t-test", classifier = "Logistic",
normalize = TRUE, nFolds = 5, numTops=50, iter = 1, Gamma=0.7, Alpha = 0.5)
predict.DRWPClassGM(object=fit, newx=GProf3325$mRNA_matrix[,c(GProf3325$normal,GProf3325$PCA)],
type = "class")
|
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