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Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network 会议论文
IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY(EMBC‘2021)
Authors:  Mincai Lai;  Guangyao Chen;  Haochen Yang;  Jingkang Yang;  Zhihao Jiang
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结合可量化因素及不可量化因素判断的坐姿检测方法及系统 专利
申请号:CN202110944329.3,申请日期: 2021-08-17,类型:发明申请,状态:实质审查
Inventors:  郑杰;   乌鑫亮;   王丽
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基于知识图谱的合成致死基因对预测方法、系统、终端及介质 专利
申请号:CN202110638513.5,申请日期: 2021-06-08,类型:发明申请,状态:实质审查
Inventors:  郑杰;   吴敏;   刘勇;   王诗珂;   徐凡
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Velo-Predictor: An Ensemble Learning Pipeline for RNA Velocity Prediction 会议论文
THE 19TH ASIA PACIFIC BIOINFORMATICS CONFERENCE
Authors:  Wang X(王莘);  Zheng J(郑杰)
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Graph contextualized attention network for predicting synthetic lethality in human cancers 期刊论文
BIOINFORMATICS, 2021, 卷号: 37, 期号: 16, 页码: 2432-2440
Authors:  Long, Yahui;  Wu, Min;  Liu, Yong;  Zheng, Jie;  Kwoh, Chee Keong
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KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers 期刊论文
BIOINFORMATICS, 2021, 卷号: 37, 页码: I418-I425
Authors:  Wang, Shike;  Xu, Fan;  Li, Yunyang;  Wang, Jie;  Zhang, Ke
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Ensemble learning models that predict surface protein abundance from single-cell multimodal omics data 期刊论文
METHODS, 2021, 卷号: 189, 页码: 65-73
Authors:  Xu, Fan;  Wang, Shike;  Dai, Xinnan;  Mundra, Piyushkumar A.;  Zheng, Jie
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Velo-Predictor: an ensemble learning pipeline for RNA velocity prediction 期刊论文
BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: SUPPL 10
Authors:  Wang, Xin;  Zheng, Jie
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PIKE-R2P: Protein-protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction 期刊论文
BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: SUPPL 6
Authors:  Dai, Xinnan;  Xu, Fan;  Wang, Shike;  Mundra, Piyushkumar A.;  Zheng, Jie
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Therapeutic targeting of the mitochondrial one-carbon pathway: perspectives, pitfalls, and potential 期刊论文
ONCOGENE, 2021
Authors:  Zhao, Li Na;  Bjorklund, Mikael;  Caldez, Matias J.;  Zheng, Jie;  Kaldis, Philipp
Favorite  |  View/Download:24/0  |  Submit date:2021/04/19