Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network

doi:10.1109/EMBC46164.2021.9630716

	Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network
	Mincai Lai1 ; Guangyao Chen1 ; Haochen Yang1 ; Jingkang Yang2 ; Zhihao Jiang1 ; Min Wu 3; Jie Zheng1
	2021-11
会议录名称	2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC)
ISSN	1557-170X
发表状态	已发表
DOI	10.1109/EMBC46164.2021.9630716
摘要	Synthetic lethality (SL) is currently one of the most effective methods to identify new drugs for cancer treatment. It means that simultaneous inactivation target of two non-lethal genes will cause cell death, but loss of either will not. However, detecting SL pair is challenging due to the experimental costs. Artificial intelligence (AI) is a low-cost way to predict the potential SL relation between two genes. In this paper, a new Multi-Graph Ensemble (MGE) network structure combining graph neural network and existing knowledge about genes is proposed to predict SL pairs, which integrates the embedding of each feature with different neural networks to predict if a pair of genes have SL relation. It has a higher prediction performance compared with existing SL prediction methods. Also, with the integration of other biological knowledge, it has the potential of interpretability.
会议名称	43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC)
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	null,null,ELECTR NETWORK
会议日期	NOV 01-05, 2021
URL	查看原文
收录类别	CPCI-S ; EI ; CPCI
WOS研究方向	Engineering
WOS类目	Engineering, Biomedical ; Engineering, Electrical & Electronic
WOS记录号	WOS:000760910501172
出版者	IEEE
EISSN	1558-4615
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/135804
专题	信息科学与技术学院_硕士生生命科学与技术学院_硕士生信息科学与技术学院_博士生信息科学与技术学院_PI研究组_郑杰组信息科学与技术学院_PI研究组_江智浩组
通讯作者	Min Wu
作者单位	1.School of Information Science and Technology, ShanghaiTech University, China 2.School of Life Science and Technology, ShanghaiTech University, China 3.the Institute for Infocomm Research, A STAR, Singpore
第一作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Mincai Lai,Guangyao Chen,Haochen Yang,et al. Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2021.