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浏览/检索结果:
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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:115/0
  |  
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:12/0
  |  
提交时间:2022/03/24
Disease-drug associations predictionLow-rank tensorsMultimodal fusion
A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning
期刊论文
CANCERS, 2021, 卷号: 13, 期号: 9, 页码: 1-12
作者:
Zhao, BW (Zhao, Bo-Wei) 1 , 2 , 3
;
You, ZH (You, Zhu-Hong) 1 , 2 , 3
;
Hu, L (Hu, Lun) 1 , 2 , 3
;
Guo, ZH (Guo, Zhen-Hao) 1 , 2 , 3
;
Wang, L (Wang, Lei) 1 , 2 , 3
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/07/27
drug discoverydrug-target interactionslarge-scale graph representation learningcomputational method
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 ]
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2020/04/21
MIPDH: A Novel Computational Model for Predicting microRNA-mRNA Interactions by DeepWalk on a Heterogeneous Network
期刊论文
ACS OMEGA, 2020, 卷号: 5, 期号: 28, 页码: 17022-17032
作者:
Wong, L (Wong, Leon)[ 1,2,3 ]
;
You, ZH (You, Zhu-Hong)[ 1,2,3 ]
;
Guo, ZH (Guo, Zhen-Hao)[ 1,2,3 ]
;
Yi, HC (Yi, Hai-Cheng)[ 1,2,3 ]
;
Chen, ZH (Chen, Zhan-Heng)[ 1,2,3 ]
收藏
  |  
浏览/下载:25/0
  |  
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:35/0
  |  
提交时间:2020/11/04
network biology
system biology
Bioentity2vec
multi-type relationship prediction
Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers
期刊论文
FRONTIERS IN GENETICS, 2019, 卷号: 10, 期号: 3, 页码: 1-13
作者:
Feng, X (Feng, Xin)[ 1,2 ]
;
Li, JL (Li, Jialiang)[ 2,3 ]
;
Li, H (Li, Han)[ 2,3 ]
;
Chen, H (Chen, Hang)[ 1,2 ]
;
Li, F (Li, Fei)[ 2,3 ]
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2019/04/18
age
feature selection
TriVote
BRCA
classification
transcriptome
methylome
Insights into the Mechanism of Quercetin against BSA-Fructose Glycation by Spectroscopy and High-Resolution Mass Spectrometry: Effect on Physicochemical Properties
期刊论文
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2019, 卷号: 67, 期号: 1, 页码: 236-246
作者:
Zhang, L (Zhang, Lu)[ 1,2 ]
;
Lu, Y (Lu, Yu)[ 1,2 ]
;
Ye, YH (Ye, Yun-hua)[ 1,2 ]
;
Yang, SH (Yang, Si-hang)[ 1,2 ]
;
Tu, ZC (Tu, Zong-cai)[ 1,2,3 ]
收藏
  |  
浏览/下载:142/0
  |  
提交时间:2019/03/05
quercetin
glycation
BSA-fructose
conformational structure
Easy-nLC Q-Exactive MS/MS
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:73/0
  |  
提交时间:2019/05/16
Design Nanoprobe Based on Its Binding with Amino Acid Residues on Cell Surface and Its Application to Electrochemical Analysis of Cells
期刊论文
ANALYTICAL CHEMISTRY, 2019, 卷号: 91, 页码: 1005-1010
作者:
Zhang, Juan[1]
;
Chen, Hong[2]
;
Cao, Ya[3]
;
Feng, Chang[4]
;
Zhu, Xiaoli[5]
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/04/22
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