IBoost is a statistical boosting method that integrates multiple types of high-dimensional genomics data with clinical data for predicting survival time.
|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 <[email protected]>|
|Package repository||View on GitHub|
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