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Multi-labelled proteins recognition for high-throughput microscopy images using deep convolutional neural networks
期刊论文
BMC BIOINFORMATICS, 2021, 卷号: 22, 期号: SUPPL 3, 页码: 14
作者:
Zhang, Enze
;
Zhang, Boheng
;
Hu, Shaohan
;
Zhang, Fa
;
Liu, Zhiyong
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/12/01
Protein pattern recognition
DNNs
Multi-class and multi-label
Label imbalance
High-throughput microscopy images
Machine learning method for the supplement, correction, and prediction of the nonlinear dynamics in pattern formation
期刊论文
PHYSICS OF FLUIDS, 2021, 卷号: 33, 期号: 2, 页码: 17
作者:
Chen Y(陈一)
;
Wu D(吴笛)
;
Duan L(段俐)
;
Kang Q(康琦)
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  |  
浏览/下载:11/0
  |  
提交时间:2021/04/19
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning
期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
作者:
Jing, Fang
;
Zhang, Shao-Wu
;
Cao, Zhen
;
Zhang, Shihua
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  |  
浏览/下载:11/0
  |  
提交时间:2021/04/26
Bioinformatics
machine learning
transcription factors binding sites
convolutional neural networks
DNA accessibility
histone modification
SHREC 2020: Classification in cryo-electron tomograms
期刊论文
COMPUTERS & GRAPHICS-UK, 2020, 卷号: 91, 页码: 279-289
作者:
Gubins, Ilja
;
Chaillet, Marten L.
;
van der Schot, Gijs
;
Veltkamp, Remco C.
;
Forster, Friedrich
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  |  
浏览/下载:16/0
  |  
提交时间:2020/12/10
Cryo-electron tomography
Computer vision
Pattern recognition
Protein classification
Benchmark
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
An Effective Microscopic Detection Method for Automated Silicon-Substrate Ultra-microtome (ASUM)
期刊论文
NEURAL PROCESSING LETTERS, 2019, 页码: 18
作者:
Cheng, Long
;
Liu, Weizhou
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浏览/下载:8/0
  |  
提交时间:2020/03/30
Microscopic object detection
Deep learning
Data augmentation
Serial sections
Spatial Sequential Modeling and Predication of Global Land Use and Land Cover Changes by Integrating a Global Change Assessment Model and Cellular Automata
期刊论文
EARTHS FUTURE, 2019, 卷号: 7, 期号: 9, 页码: 1102-1116
作者:
Cao, Min
;
Zhu, Yanhui
;
Quan, Jinling
;
Zhou, Sheng
;
Lue, Guonian
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  |  
浏览/下载:4/0
  |  
提交时间:2020/05/19
Land use and land cover change (LUCC)
global change assessment model (GCAM)
cellular automata (CA)
spatial sequential modeling
DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins
期刊论文
BMC BIOINFORMATICS, 2019, 卷号: 20, 页码: 10
作者:
Wang, Hui
;
Fu, Hongli
;
Yang, Yingxi
;
Wang, Xiaobo
;
Xu, Yan
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  |  
浏览/下载:256/0
  |  
提交时间:2019/04/03
Ubiquitination
Deep learning
Convolutional neural networks
Consciousness: New Concepts and Neural Networks
期刊论文
FRONTIERS IN CELLULAR NEUROSCIENCE, 2019, 卷号: 13
作者:
Zhao, Tong
;
Zhu, Yiqian
;
Tang, Hailiang
;
Xie, Rong
;
Zhu, Jianhong
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  |  
浏览/下载:23/0
  |  
提交时间:2019/12/05
consciousness
neural network
vegetative state
plasticity
brain injury
Finite-time synchronization of delayed fuzzy cellular neural networks with discontinuous activations
期刊论文
FUZZY SETS AND SYSTEMS, 2019, 卷号: 361, 页码: 56-70
作者:
Duan, Lian
;
Wei, Hui*
;
Huang, Lihong
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  |  
浏览/下载:12/0
  |  
提交时间:2019/12/03
Discontinuous activation
Finite-time synchronization
Fuzzy cellular neural network
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