Description Usage Arguments Author(s)
help get a best model based on prognosis information via Cox model
1 2 3 4 5 6 7 8 9 10 11 | cox.optimized(
expr.matrix,
design,
select,
event.status=c("TTR.status","DFS.status","OS.status"),
event.time=c("TTR.time","DFS.time","OS.time"),
event.lower =c(89,89,89),
direction="both",
method = "pca",
digits = 5
)
|
expr.matrix |
expression matrix |
design |
design object |
select |
selected markers or genes |
event.status |
colnames of event status |
event.time |
colnames of event time |
event.lower |
the lower limit of event time |
direction |
parameter of MASS::stepAIC.One of "both", "backward", "forward".Default is "both" |
method |
whether use PCA strategy to avoid multicollinearity.Default is "pca" |
digits |
the digits of Cor |
Weibin Huang<654751191@qq.com>
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