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 |
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| Author | Kin Yau Wong, Cheng Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel, Donglin Zeng, Danyu Lin, Charles M. Perou |
| Maintainer | Kin Yau Wong <kin-yau.wong@polyu.edu.hk> |
| License | GPL (>=2) |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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