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新疆理化技术研究所 [15]
江苏大学 [1]
山东大学 [1]
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中国水产科学院 [1]
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Graph representation learning in bioinformatics: trends, methods and applications
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23, 期号: 1, 页码: 1-16
作者:
Yi, HC (Yi, Hai-Cheng) [1] , [2]
;
You, ZH (You, Zhu-Hong) [3]
;
Huang, DS (Huang, De-Shuang) [4]
;
Kwoh, CK (Kwoh, Chee Keong) [5] , [6]
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/05/06
graph representation learning
deeplearning
graph neural network
graph embedding
knowledge graph
healthcare
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm
期刊论文
BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 2, 页码: 2085-2095
作者:
Guo,ZH (Guo, Zhen-Hao) 1
;
You,ZH (You,Zhu-Hong) 1, 2
;
Huang,DS (Huang, De-Shuang) 3, 4
;
Yi, HC (Yi, Hai-Cheng) 2
;
Zheng, K (Zheng, Kai) 5
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  |  
浏览/下载:145/0
  |  
提交时间:2021/08/09
MeSHHeading2vecMeSH relationship networkgraph embeddingcomputational prediction model
Learning from low-rank multimodal representations for predicting disease-drug associations
期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021, 卷号: 21, 期号: SUPPL1, 页码: 1-12
作者:
Hu, PW (Hu, Pengwei) [1]
;
Huang, YA (Huang, Yu-An) [2]
;
Mei, J (Mei, Jing) [3]
;
Leung, H (Leung, Henry) [4]
;
Chen, ZH (Chen, Zhan-Heng) [1]
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/03/24
Disease-drug associations predictionLow-rank tensorsMultimodal fusion
Expanding the chemistry of borates with functional [BO2](-) anions
期刊论文
NATURE COMMUNICATIONS, 2021, 卷号: 12, 期号: 1, 页码: 2597-2597
作者:
Huang, CM (Huang, Chunmei) 1, 2, 3, 4
;
Mutailipu, M (Mutailipu, Miriding) 1, 2, 3, 4
;
Zhang, FF (Zhang, Fangfang) 1, 2, 3, 4
;
Griffith, KJ (Griffith, Kent J.) 5
;
Hu, C (Hu, Cong) 1, 2, 3, 4
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  |  
浏览/下载:25/0
  |  
提交时间:2021/08/09
A learning based framework for diverse biomolecule relationship prediction in molecular association network
期刊论文
COMMUNICATIONS BIOLOGY, 2020, 卷号: 3, 期号: 1, 页码: 1-9
作者:
Guo, ZH (Guo, Zhen-Hao)[ 1,2 ]
;
You, ZH (You, Zhu-Hong)[ 1,2 ]
;
Huang, DS (Huang, De-Shuang)[ 3 ]
;
Yi, HC (Yi, Hai-Cheng)[ 1,2 ]
;
Chen, ZH (Chen, Zhan-Heng)[ 1,2 ]
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  |  
浏览/下载:36/0
  |  
提交时间:2020/04/21
GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm
期刊论文
PLOS COMPUTATIONAL BIOLOGY, 2020, 卷号: 16, 期号: 5, 页码: 1-19
作者:
Wang, L (Wang, Lei)[ 1,2 ]
;
You, ZH (You, Zhu-Hong)[ 2 ]
;
Li, YM (Li, Yang-Ming)[ 3 ]
;
Zheng, K (Zheng, Kai)[ 4 ]
;
Huang, YA (Huang, Yu-An)[ 5 ]
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2020/07/06
iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation
期刊论文
PLOS COMPUTATIONAL BIOLOGY, 2020, 卷号: 16, 期号: 5, 页码: 1-22
作者:
Zheng, K (Zheng, Kai)[ 1 ]
;
You, ZH (You, Zhu-Hong)[ 2 ]
;
Li, JQ (Li, Jian-Qiang)[ 3 ]
;
Wang, L (Wang, Lei)[ 2,4 ]
;
Guo, ZH (Guo, Zhen-Hao)[ 2 ]
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2020/07/06
Learning Representations to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network
期刊论文
ISCIENCE, 2020, 卷号: 23, 期号: 7, 页码: 1-16
作者:
Yi, HC (Yi, Hai-Cheng)[ 1,2 ]
;
You, ZH (You, Zhu-Hong)[ 1,2 ]
;
Huang, DS (Huang, De-Shuang)[ 3 ]
;
Guo, ZH (Guo, Zhen-Hao)[ 1 ]
;
Chan, KCC (Chan, Keith C. C.)[ 4 ]
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/09/09
Bioentity2vec: Attribute- and behavior-driven representation for predicting multi-type relationships between bioentities
期刊论文
GIGASCIENCE, 2020, 卷号: 9, 期号: 6, 页码: 1-12
作者:
Guo, ZH (Guo, Zhen-Hao)[ 1,2 ]
;
You, ZH (You, Zhu-Hong)[ 1,2 ]
;
Wang, YB (Wang, Yan-Bin)[ 3 ]
;
Huang, DS (Huang, De-Shuang)[ 4 ]
;
Yi, HC (Yi, Hai-Cheng)[ 1,2 ]
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2020/11/04
network biology
system biology
Bioentity2vec
multi-type relationship prediction
Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions
期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2020, 卷号: 17, 期号: 3, 页码: 972-980
作者:
Wang, L (Wang, Lei)[ 1 ]
;
You, ZH (You, Zhu-Hong)[ 2 ]
;
Huang, DS (Huang, De-Shuang)[ 3 ]
;
Zhou, FF (Zhou, Fengfeng)[ 4,5 ]
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2020/12/09
Proteins
RNA
Convolution
Neural networks
Benchmark testing
Feature extraction
Sparse matrices
Convolution neural network
extreme learning machine
RNA-protein interactions
sequence
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