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LDGRNMF: LncRNA-disease associations prediction based on graph regularized non-negative matrix factorization
期刊论文
NEUROCOMPUTING, 2021, 卷号: 424, 期号: 2, 页码: 236-245
作者:
Wang, MN (Wang, Mei-Neng)[ 1 ]
;
You, ZH (You, Zhu-Hong)[ 2 ]
;
Wang, L (Wang, Lei)[ 2,3 ]
;
Li, LP (Li, Li-Ping)[ 2 ]
;
Zheng, K (Zheng, Kai)[ 4 ]
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2021/03/05
LncRNA-disease associations
LncRNA-disease similarity
Nonnegative matrix factorization
Graph regularization
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
收藏
  |  
浏览/下载:147/0
  |  
提交时间:2021/08/09
MeSHHeading2vecMeSH relationship networkgraph embeddingcomputational prediction model
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network
期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 卷号: 20, 期号: 1, 页码: 1-9
作者:
Wang, YB (Wang, Yan-Bin)[ 1,2 ]
;
You, ZH (You, Zhu-Hong)[ 1 ]
;
Yang, S (Yang, Shan)[ 1 ]
;
Yi, HC (Yi, Hai-Cheng)[ 1,2 ]
;
Chen, ZH (Chen, Zhan-Heng)[ 1,2 ]
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2020/04/21
Drug-target
Deep learning
Legendre moment
Long short-term memory
DBMDA: A Unified Embedding for Sequence-Based miRNA Similarity Measure with Applications to Predict and Validate miRNA-Disease Associations
期刊论文
MOLECULAR THERAPY-NUCLEIC ACIDS, 2020, 卷号: 19, 期号: 3, 页码: 602-611
作者:
Zheng, K (Zheng, Kai)[ 1 ]
;
You, ZH (You, Zhu-Hong)[ 2 ]
;
Wang, L (Wang, Lei)[ 2,3 ]
;
Zhou, Y (Zhou, Yong)[ 1 ]
;
Li, LP (Li, Li-Ping)[ 2 ]
收藏
  |  
浏览/下载:53/0
  |  
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:32/0
  |  
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:40/0
  |  
提交时间:2020/07/06
Prediction of drug-target interactions from multi-molecular network based on LINE network representation method
期刊论文
JOURNAL OF TRANSLATIONAL MEDICINE, 2020, 卷号: 18, 期号: 1, 页码: 1-11
作者:
Ji, BY (Ji, Bo-Ya)[ 1,2 ]
;
You, ZH (You, Zhu-Hong)[ 1,2 ]
;
Jiang, HJ (Jiang, Han-Jing)[ 1,2 ]
;
Guo, ZH (Guo, Zhen-Hao)[ 1,2 ]
;
Zheng, K (Zheng, Kai)[ 3 ]
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2020/10/23
Drug-target interactions
Heterogeneous information network
LINE
Random forest
GANCDA: a novel method for predicting circRNA-disease associations based on deep generative adversarial network
期刊论文
INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 2020, 卷号: 23, 期号: 3, 页码: 265-283
作者:
Yan, X (Yan, Xin)[ 1 ]
;
Wang, L (Wang, Lei)[ 2,3 ]
;
You, ZH (You, Zhu-Hong)[ 3 ]
;
Li, LP (Li, Li-Ping)[ 3 ]
;
Zheng, K (Zheng, Kai)[ 4 ]
收藏
  |  
浏览/下载:261/0
  |  
提交时间:2020/12/11
circular RNA
diseases
CircRNA-disease association
generative adversarial network
logistic model tree
Ultrasmall Abundant Metal-Based Clusters as Oxygen-Evolving Catalysts
期刊论文
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2019, 卷号: 141, 期号: 1, 页码: 232-239
作者:
Han, XB (Han, Xin-Bao)[ 1,2 ]
;
Tang, XY (Tang, Xing-Yan)[ 1,2 ]
;
Lin, Y (Lin, Yue)[ 3 ]
;
Gracia-Espino, E (Gracia-Espino, Eduardo)[ 5 ]
;
Liu, SG (Liu, San-Gui)[ 1,2 ]
收藏
  |  
浏览/下载:115/0
  |  
提交时间:2019/03/05
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities
期刊论文
PLOS COMPUTATIONAL BIOLOGY, 2019, 卷号: 15, 期号: 3, 页码: 1-18
作者:
Wang, L (Wang, Lei)[ 1 ]
;
You, ZH (You, Zhu-Hong)[ 1 ]
;
Chen, X (Chen, Xing)[ 2 ]
;
Li, YM (Li, Yang-Ming)[ 3 ]
;
Dong, YN (Dong, Ya-Nan)[ 4 ]
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2019/05/16
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