fitness.Cindex: Calculate C-Index within survival data for using as fitness...
In SCBIT-YYLab/DysRegSig: Gene dysregulation analysis and construction of mechanistic signature in cancer
Description
Usage
Arguments
Value
See Also
Description
Calculate C-Index with cross-validation in survival data for using as fitness function.
Usage
1
fitness.Cindex(combine.dysreg, dysreg, exp.data, pheno.data, train.rate)
Arguments
combine.dysreg
The combination of dysregulations.
dysreg
The dysregulations output from DysReg.
exp.data
Expression matrix. Columns correspond to genes, rows correspond to experiments. The matrix is expected to be already normalized.
pheno.data
The phenotype data corresponding to fitness function. At here, it is survival data.
train.rate
The rate of sample for training model in cross-validation.
Value
The fitness, C-Index, for each individual.
See Also
SCBIT-YYLab/DysRegSig documentation built on July 19, 2021, 4:38 a.m.
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Description Usage Arguments Value See Also
Description
Calculate C-Index with cross-validation in survival data for using as fitness function.
Usage
1 | fitness.Cindex(combine.dysreg, dysreg, exp.data, pheno.data, train.rate)
|
Arguments
combine.dysreg |
The combination of dysregulations. |
dysreg |
The dysregulations output from |
exp.data |
Expression matrix. Columns correspond to genes, rows correspond to experiments. The matrix is expected to be already normalized. |
pheno.data |
The phenotype data corresponding to fitness function. At here, it is survival data. |
train.rate |
The rate of sample for training model in cross-validation. |
Value
The fitness, C-Index, for each individual.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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