predict.RLassoCox {RLassoCox}

R Documentation

Make predictions from a RLasso-Cox model

Description

This function predicts the risk of new samples from a fitted RLasso-Cox model.

Usage

## S3 method for class 'RLassoCox'
predict(object, newx, ...)

Arguments

object	Fitted "RLassoCox" model object.
newx	A matrix with new samples to predict.
...	Arguments to be passed to predict.glmnet in R package glmnet.

Value

Predicted results of new patients in newx.

Author(s)

Wei Liu

Examples

library("survival")
library("igraph")
library("glmnet")
library("Matrix")

data(dGMMirGraph)
data(mRNA_matrix)
data(survData)

trainSmpl.Idx <- sample(1:dim(mRNA_matrix)[1], floor(2/3*dim(mRNA_matrix)[1]))
testSmpl.Idx <- setdiff(1:dim(mRNA_matrix)[1], trainSmpl.Idx)
trainSmpl <- mRNA_matrix[trainSmpl.Idx ,]
testSmpl <- mRNA_matrix[testSmpl.Idx ,]

res <- RLassoCox(x=trainSmpl, y=survData[trainSmpl.Idx ,],
                globalGraph=dGMMirGraph)
lp <- predict(object = res, newx = testSmpl)

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