featureselection.meta: Feature selection for meta analysis
In survJamda: Survival Prediction by Joint Analysis of Microarray Gene Expression Data
Description
Usage
Arguments
Value
Warning
Author(s)
Description
Apply univariate Cox regression and aggregate gene Z-scores.
Usage
1
featureselection.meta(gnExpMat, survivaltime, censor)
Arguments
gnExpMat
Matrix of gene expression data.
survivaltime
Vector of survival time.
censor
Vector of censoring status. In the censoring status vector, 1 = event occurred, 0 = censored.
Value
Vector of gene Z-scores.
Warning
This function is not called by the user directly.
Author(s)
Haleh Yasrebi
survJamda documentation built on May 1, 2019, 8:50 p.m.
R Package Documentation
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Description Usage Arguments Value Warning Author(s)
Description
Apply univariate Cox regression and aggregate gene Z-scores.
Usage
1 | featureselection.meta(gnExpMat, survivaltime, censor)
|
Arguments
gnExpMat |
Matrix of gene expression data. |
survivaltime |
Vector of survival time. |
censor |
Vector of censoring status. In the censoring status vector, 1 = event occurred, 0 = censored. |
Value
Vector of gene Z-scores.
Warning
This function is not called by the user directly.
Author(s)
Haleh Yasrebi
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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