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Transcriptomic analysis of glioblastoma multiforme providing new insights into GPR17 signaling communication
期刊论文
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2020, 页码: 14
作者:
Mutharasu, Gnanavel
;
Murugesan, Akshaya
;
Konda Mani, Saravanan
;
Yli-Harja, Olli
;
Kandhavelu, Meenakshisundaram
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/12/10
GPR17
signaling networks
glioblastoma multiforme
RNA-Seq
protein–
protein interface
kinases
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: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
Two new methods for identifying essential proteins based on the protein complexes and topological properties
期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 9578-9586
作者:
Lu, Pengli
;
Yu, Jingjuan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/14
Complex networks
Topology
Yeast
Biological evolution
Essential proteins
Experimental materials
Protein complexes
Protein interaction networks
Protein-protein interaction networks
Topological properties
Topological structure
DNN-PPI:A largescale prediction of protein-protein interactions based on deep neural networks.
期刊论文
Journal of Biological Systems., 2019
作者:
YUANMIAO GUI
;
RUJING WANG,
;
YUANYUAN WEI
;
Wang X(王雪)
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/12/15
Deep Neural Networks
Prediction
Protein–Protein Interaction
A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.
期刊论文
Mathematical Biosciences, 2019
作者:
Wang X(王雪)
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2021/12/15
Deep neural networks
Protein-protein interaction
Conjoint triad auto covariance
Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks
期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2019, 卷号: 176, 页码: 61-68
作者:
Lu, Hongbin
;
Li, Lishuang
;
He, Xinyu
;
Liu, Yang
;
Zhou, Anqiao
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Natural language processing
Recurrent neural networks
Granular attention mechanism
Chemical-protein interactions extraction
Swish activation function
Detection of protein complexes from multiple protein interaction networks using graph embedding
期刊论文
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2019, 卷号: 96, 页码: 107-115
作者:
Liu, Xiaoxia
;
Yang, Zhihao
;
Sang, Shengtian
;
Lin, Hongfei
;
Wang, Jian
收藏
  |  
浏览/下载:115/0
  |  
提交时间:2019/12/02
Network embedding
Protein complex identification
Protein-protein interaction networks
A multi-task learning based approach to biomedical entity relation extraction
会议论文
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
作者:
Li, Q.
;
Yang, Z.
;
Luo, L.
;
Wang, L.
;
Zhang, Y.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Bioinformatics
Data mining
Drug interactions
Learning systems
Natural language processing systems
Neural networks
Proteins, Automatic extraction
Biomedical text minings
Drug-drug interactions
Entity relation extractions
Multitask learning
Protein-protein interaction extractions
Relation extraction
Shared information, Extraction
Protein-Protein Interaction Article Classification: A Knowledge-enriched Self-Attention Convolutional Neural Network Approach
会议论文
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
作者:
Luo, L.
;
Yang, Z.
;
Wang, L.
;
Zhang, Y.
;
Lin, H.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Bioinformatics
Embeddings
Neural networks
Proteins, Attention mechanisms
Convolutional neural network
Domain knowledge
Neural network model
Protein-protein interactions
self-attention
State-of-the-art methods, Convolution
Protein Complexes Detection Based on Global Network Representation Learning
会议论文
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
作者:
Xu, B.
;
Li, K.
;
Liu, X.
;
Liu, D.
;
Zhang, Y.
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/02
Bioinformatics
Embeddings
Proteins, Biological information
Cellular organization
Global representation
Network embedding
Ppi networks
Protein complexes
Protein-protein interaction networks
Vector representations, Complex networks
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