Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers
Motivation: Synthetic lethality (SL) is a promising form of gene interaction for cancer therapy, as it is able to identify specific genes to target at cancer cells without disrupting normal cells. As high-throughput wet-lab settings are often costly and face various challenges, computational approac...
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Main Authors: | CAI, Ruichu, CHEN, Xuexin, FANG, Yuan, WU, Min, HAO, Yuexing |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2020
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Online Access: | https://ink.library.smu.edu.sg/sis_research/5127 https://ink.library.smu.edu.sg/context/sis_research/article/6130/viewcontent/BIOINFO20_DDGCN_av.pdf |
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Institution: | Singapore Management University |
Language: | English |
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