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A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations.

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第一作者： Ying,Wang

第一单位： School of Computer Science, Qufu Normal University, Rizhao, Shandong, China.

作者： Ying,Wang ^[1] ; Jin-Xing,Liu ^[1] ; Juan,Wang ^[1] ; Junliang,Shang ^[1] ; Ying-Lian,Gao ^[2]

作者单位： School of Computer Science, Qufu Normal University, Rizhao, Shandong, China. ^[1] Qufu Normal University Library, Qufu Normal University, Rizhao, Shandong, China. ^[2]

关键词 biological knowledge drug–disease association light gradient boosting machine classifier network topology

医学主题词结果可重复性(Reproducibility of Results);蛋白质类(Proteins);计算生物学(Computational Biology);算法(Algorithms)

DOI 10.1089/cmb.2023.0078

PMID 37486669

发布时间 2023-08-16

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Journal of computational biology

2023年30卷8期

937-947页

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Journal of computational biology

2023年30卷8期

937-947页

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A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations.

Journal of computational biology

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A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations.

Journal of computational biology

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Journal of computational biology

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