Article

Efficient gradient boosting for prognostic biomarker discovery

2021-07-08

Abstract excerpt

<h4>Motivation</h4> Gradient boosting decision tree (GBDT) is a powerful ensemble machine learning method that has the potential to accelerate biomarker discovery from high-dimensional molecular data. Recent algorithmic advances, such as Extreme Gradient Boosting (XGB) and Light Gradient Boosting (LGB), have rendered the GBDT training more efficient, scalable and accurate. These modern techniques, however, have n...

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Literature Corpus work: 5d943f70-6d38-5400-818f-20ac273587e1
DOI: 10.1101/2021.07.06.451263

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