alexwky/I-Boost: An Integrative Boosting Approach for Predicting Survival Time With Multiple Genomics Platforms

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

Getting started

Package details

AuthorKin Yau Wong, Cheng Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel, Donglin Zeng, Danyu Lin, Charles M. Perou
MaintainerKin Yau Wong <[email protected]>
LicenseGPL (>=2)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("alexwky/I-Boost")
alexwky/I-Boost documentation built on Jan. 11, 2019, 4:33 p.m.