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A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitors.

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第一作者： Madhulata,Kumari

第一单位： School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.

作者： Madhulata,Kumari ^[1] ; Naidu,Subbarao ^[1]

作者单位： School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India. ^[1]

关键词 ANN CNN ENN SMOTE artificial neural network convolutional neural network edited nearest neighbor marburg virus oversampling resampling methods synthetic minority oversampling technique undersampling

医学主题词算法(Algorithms);聚类分析(Cluster Analysis);人类(Humans);马尔堡病毒属(Marburgvirus)

DOI 10.4155/fmc-2021-0290

PMID 35393862

发布时间 2022-09-06

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Future medicinal chemistry

2022年14卷10期

701-715页

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Future medicinal chemistry

2022年14卷10期

701-715页

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A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitors.

Future medicinal chemistry

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Future medicinal chemistry

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A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitors.

Future medicinal chemistry

相似文献

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Future medicinal chemistry

相关期刊

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