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Author:
['Ruijie Yin', 'Ye Chen', 'Min Lu']
License:
MIT License
Summary:
Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction.
Latest version:
0.1.3
Required dependencies:
lightgbm
|
numpy
|
pandas
|
shap-hypetune
|
sklearn
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