MarginalCoxRanking: Marginal Cox ranking function
In cosmonet-package/COSMONET: Screening-network Cox methods for survival analysis
Description
Usage
Arguments
Value
References
View source: R/MarginalCoxRanking.R
Description
This function ranks the genes that are highly-correlated with the patient survival according to their corresponding marginal cox utilities. The genes are ordered from the largest to the smallest.
Usage
1
MarginalCoxRanking(x, y)
Arguments
x
input matrix nxp.
y
response variable, y should be a two-column matrix with columns named time and status. The latter is a binary variable, with 1 indicating event, and 0 indicating right censored.
Value
A data frame composed by the original indices, gene symbols, the marginal regression coefficients, the regression coefficients and the relative p.values.
References
Fan, J., Feng, Y., & Wu, Y. (2010).
High-dimensional variable selection for Cox’s proportional hazards model.
IMS Collections, 6, 70-86.
Saldana, D. F. and Feng, Y. (2018).
SIS: An R package for Sure Independence Screening in Ultrahigh Dimensional Statistical Models.
Journal of Statistical Software, 83, 2, 1-25.
cosmonet-package/COSMONET documentation built on Dec. 24, 2021, 9:12 p.m.
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Description Usage Arguments Value References
View source: R/MarginalCoxRanking.R
Description
This function ranks the genes that are highly-correlated with the patient survival according to their corresponding marginal cox utilities. The genes are ordered from the largest to the smallest.
Usage
1 | MarginalCoxRanking(x, y)
|
Arguments
x |
input matrix |
y |
response variable, |
Value
A data frame composed by the original indices, gene symbols, the marginal regression coefficients, the regression coefficients and the relative p.values.
References
Fan, J., Feng, Y., & Wu, Y. (2010).
High-dimensional variable selection for Cox’s proportional hazards model.
IMS Collections, 6, 70-86.
Saldana, D. F. and Feng, Y. (2018).
SIS: An R package for Sure Independence Screening in Ultrahigh Dimensional Statistical Models.
Journal of Statistical Software, 83, 2, 1-25.
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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