檢索結果 - Hong‐Bin Shen

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  1. 1
    Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks

    Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks 由 Xiaoyong Pan, Hong‐Bin Shen

    出版 2018
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  2. 2
    RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach

    RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach 由 Xiaoyong Pan, Hong‐Bin Shen

    出版 2017
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  3. 3
    Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms

    Cell-PLoc 2.0: an improved package of web-servers for predicting subcellular localization of proteins in various organisms 由 Kuo‐Chen Chou, Hong‐Bin Shen

    出版 2010
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  4. 4
    Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization

    Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization 由 Kuo‐Chen Chou, Hong‐Bin Shen

    出版 2010
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  5. 5
    A New Method for Predicting the Subcellular Localization of Eukaryotic Proteins with Both Single and Multiple Sites: Euk-mPLoc 2.0

    A New Method for Predicting the Subcellular Localization of Eukaryotic Proteins with Both Single and Multiple Sites: Euk-mPLoc 2.0 由 Kuo‐Chen Chou, Hong‐Bin Shen

    出版 2010
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  6. 6
    MemBrain: Improving the Accuracy of Predicting Transmembrane Helices

    MemBrain: Improving the Accuracy of Predicting Transmembrane Helices 由 Hong‐Bin Shen, James J. Chou

    出版 2008
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  7. 7
    REVIEW : Recent advances in developing web-servers for predicting protein attributes

    REVIEW : Recent advances in developing web-servers for predicting protein attributes 由 Kuo‐Chen Chou, Hong‐Bin Shen

    出版 2009
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  8. 8
    MACOED: a multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies

    MACOED: a multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies 由 Peng-Jie Jing, Hong‐Bin Shen

    出版 2014
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  9. 9
    FoldRate: A Web-Server for Predicting Protein Folding Rates from Primary Sequence

    FoldRate: A Web-Server for Predicting Protein Folding Rates from Primary Sequence 由 Chou Kuo‐Chen, Hong‐Bin Shen

    出版 2009
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  10. 10
    Ensemble classifier for protein fold pattern recognition

    Ensemble classifier for protein fold pattern recognition 由 Hong‐Bin Shen, Kuo‐Chen Chou

    出版 2006
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  11. 11
    Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins

    Gpos-PLoc: an ensemble classifier for predicting subcellular localization of Gram-positive bacterial proteins 由 Hong‐Bin Shen, Kuo‐Chen Chou

    出版 2007
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  12. 12
    Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features

    Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features 由 Hang Zhou, Yang Yang, Hong‐Bin Shen

    出版 2016
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  13. 13
    Predicting gene regulatory interactions based on spatial gene expression data and deep learning

    Predicting gene regulatory interactions based on spatial gene expression data and deep learning 由 Yang Yang, Qingwei Fang, Hong‐Bin Shen

    出版 2019
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  14. 14
    Protein–ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data

    Protein–ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data 由 Chunqiu Xia, Xiaoyong Pan, Hong‐Bin Shen

    出版 2020
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  15. 15
    Discovering the nuclear localization signal universe through a deep learning model with interpretable attention units

    Discovering the nuclear localization signal universe through a deep learning model with interpretable attention units 由 Yifan Li, Xiaoyong Pan, Hong-Bin Shen

    出版 2025
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  16. 16
    Prediction of protein folding rates from primary sequence by fusing multiple sequential features

    Prediction of protein folding rates from primary sequence by fusing multiple sequential features 由 Hong‐Bin Shen, Jiangning Song, Kuo‐Chen Chou

    出版 2009
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  17. 17
    High-accuracy prediction of transmembrane inter-helix contacts and application to GPCR 3D structure modeling

    High-accuracy prediction of transmembrane inter-helix contacts and application to GPCR 3D structure modeling 由 Jing Yang, Richard Jang, Yang Zhang, Hong-Bin Shen

    出版 2013
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  18. 18
    IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

    IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction 由 Xiaoyong Pan, Yongxian Fan, Junchi Yan, Hong‐Bin Shen

    出版 2016
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  19. 19
    Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

    Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks 由 Xiaoyong Pan, Peter Rijnbeek, Junchi Yan, Hong‐Bin Shen

    出版 2018
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  20. 20
    CRIP: predicting circRNA–RBP-binding sites using a codon-based encoding and hybrid deep neural networks

    CRIP: predicting circRNA–RBP-binding sites using a codon-based encoding and hybrid deep neural networks 由 Kaiming Zhang, Xiaoyong Pan, Yang Yang, Hong‐Bin Shen

    出版 2019
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