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科研机构
新疆理化技术研究所 [4]
江苏大学 [2]
上海大学 [1]
暨南大学 [1]
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期刊论文 [8]
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2022 [1]
2021 [1]
2020 [2]
2017 [2]
2016 [1]
2015 [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:116/0
  |  
提交时间:2021/08/09
MeSHHeading2vecMeSH relationship networkgraph embeddingcomputational prediction model
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 ]
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  |  
浏览/下载:25/0
  |  
提交时间:2020/09/09
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 ]
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  |  
浏览/下载:27/0
  |  
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
Genetic association study of exfoliation syndrome identifies a protective rare variant at LOXL1 and five new susceptibility loci
期刊论文
2017, 卷号: 49, 期号: [db:dc_citation_issue], 页码: 993
作者:
Aung, Tin[1,2,3]
;
Ozaki, Mineo[4,5]
;
Lee, Mei Chin[1,6,7]
;
Schlotzer-Schrehardt, Ursula[8]
;
Thorleifsson, Gudmar[9]
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  |  
浏览/下载:44/0
  |  
提交时间:2019/12/03
A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information
期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2017, 卷号: 14, 期号: 1, 页码: 85-96
作者:
Han, Fei[1]
;
Yang, Chun[2]
;
Wu, Ya-Qi[3]
;
Zhu, Jian-Sheng[4]
;
Ling, Qing-Hua[5]
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  |  
浏览/下载:15/0
  |  
提交时间:2019/12/24
Binary particle swarm optimization
gene selection
gene-to-class sensitivity information
microarray data
An Improved Ensemble of Random Vector Functional Link Networks Based on Particle Swarm Optimization with Double Optimization Strategy
期刊论文
PLOS ONE, 2016, 卷号: 11, 期号: 11, 页码: e0165803
作者:
Ling, Qing-Hua[1]
;
Song, Yu-Qing[2]
;
Han, Fei[3]
;
Yang, Dan[4]
;
Huang, De-Shuang[5]
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/24
Identifying cancer-related microRNAs based on gene expression data
期刊论文
BIOINFORMATICS, 2015, 卷号: 31, 页码: 1226-1234
作者:
Zhao, Xing-Ming[1]
;
Liu, Ke-Qin[2]
;
Zhu, Guanghui[3]
;
He, Feng[4]
;
Duval, Beatrice[5]
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  |  
浏览/下载:1/0
  |  
提交时间:2019/04/26
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