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I-Boost is a statistical boosting method that integrates multiple types of high-dimensional genomics data with clinical data for predicting survival time.

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I-Boost

I-Boost is a statistical boosting method that integrates multiple types of high-dimensional genomics data with clinical data for predicting survival time. It is implemented in the R-package IBoost.

IBoost relies on the R-package glmnet, which is hosted on CRAN.

install.packages("glmnet")

IBoost can be installed from github directly:

install.packages("devtools")
library(devtools)
install_github("alexwky/I-Boost")

IBoost() is the main function that implements the I-Boost procedure. Details about the function can be found in the user manual:

?IBoost

Contact

Kin Yau Wong kin-yau.wong@polyu.edu.hk

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I-Boost is a statistical boosting method that integrates multiple types of high-dimensional genomics data with clinical data for predicting survival time.

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