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.

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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)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
alexwky/I-Boost documentation built on Jan. 11, 2019, 4:33 p.m.