Using graph-based model to identify cell specific synthetic lethal effects.

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作者： Mengchen,Pu ^[1] ; Kaiyang,Cheng ^[2] ; Xiaorong,Li ^[3] ; Yucui,Xin ^[1] ; Lanying,Wei ^[1] ; Sutong,Jin ^[4] ; Weisheng,Zheng ^[1] ; Gongxin,Peng ^[1] ; Qihong,Tang ^[5] ; Jielong,Zhou ^[1] ; Yingsheng,Zhang ^[1]

作者单位： StoneWise, AI, Ltd., Beijing, China. ^[1] StoneWise, AI, Ltd., Beijing, China.;Nanjing University of Chinese Medicine, Shanghai, China. ^[2] StoneWise, AI, Ltd., Beijing, China.;Minzu University of China, Beijing, China. ^[3] StoneWise, AI, Ltd., Beijing, China.;Harbin Institute of Technology, Weihai, China. ^[4] StoneWise, AI, Ltd., Beijing, China.;Guilin University of Electronic Science and Technology, Guangxi, China. ^[5]

关键词 Cell specific target identification Deep learning GNN Multi-omics Synthetic lethality

DOI 10.1016/j.csbj.2023.10.011

PMID 37920819

发布时间 2024-09-30

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Computational and structural biotechnology journal

2023年21卷

5099-5110页

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Using graph-based model to identify cell specific synthetic lethal effects.

Computational and structural biotechnology journal

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Using graph-based model to identify cell specific synthetic lethal effects.

Computational and structural biotechnology journal

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Computational and structural biotechnology journal

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