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An Ensemble Feature Selection Method Based on Deep ...
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由 Q Zhu 著作2018被引用 11 次 — In this work, we introduce a deep learning model called Deep Forest to study the microbiome associations and we also present an ensemble method for feature ...
An Ensemble Feature Selection Method Based on Deep ...
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由 Q Zhu 著作2018被引用 11 次 — In this work, we introduce a deep learning model called Deep Forest to study the microbiome associations and we also present an ensemble method for feature ...
An Ensemble Feature Selection Method Based on Deep ...
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For instance, the deep forest algorithm ranks features by importance and has already been explored in microbiome-wide association studies [69, 70]. Zhu et al.
An Ensemble Feature Selection Method Based on Deep ...
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由 Q Zhu 著作2018被引用 11 次 — Recently, Zhou [11] proposed a deep learning model called. Deep Forest, which was a decision tree ensemble machine learning method. Accordingly we introduced an ...
An Ensemble Feature Selection Method Based on Deep Forest ...
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A deep learning model called Deep Forest is introduced to study the microbiome associations and an ensemble method for feature selection is presented, ...
An Ensemble Feature Selection Method Based on Deep Forest ...
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The microbiome-wide association studies are to figure out the relationship between microorganisms and humans, with the goal of discovering relevant biomarkers ...
Robust biomarker discovery for microbiome-wide ...
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由 Q Zhu 著作2020被引用 15 次 — The experiments showed that our ensemble feature method based on Deep Forest had good stability and robustness. The results of feature selection ...
Lei Liu
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An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies · Published: 31 Dec 2017, Last Modified: 11 May 2023 · BIBM 2018 ...
Lei Liu
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An ensemble feature selection method based on deep forest for microbiome-wide association studies. Q Zhu, M Pan, L Liu, B Li, T He, X Jiang, X Hu. 2018 IEEE ...
Robust biomarker discovery for microbiome-wide ...
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由 Q Zhu 著作2020被引用 15 次 — In this paper, we proposed an ensemble feature selection method based on Deep Forest to conduct microbiome-wide association studies.