Результаты поиска - Hong‐Bin Shen

Отмена результатов
  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 по Xiaoyong Pan, Hong‐Bin Shen

    Опубликовано 2018
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    Artigo
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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 по Xiaoyong Pan, Hong‐Bin Shen

    Опубликовано 2017
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    Artigo
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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 по Kuo‐Chen Chou, Hong‐Bin Shen

    Опубликовано 2010
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    Artigo
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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 по Kuo‐Chen Chou, Hong‐Bin Shen

    Опубликовано 2010
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    Artigo
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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 по Kuo‐Chen Chou, Hong‐Bin Shen

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

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

    Опубликовано 2008
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    Artigo
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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 по Kuo‐Chen Chou, Hong‐Bin Shen

    Опубликовано 2009
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    Artigo
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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 по Peng-Jie Jing, Hong‐Bin Shen

    Опубликовано 2014
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    Artigo
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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 по Chou Kuo‐Chen, Hong‐Bin Shen

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

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

    Опубликовано 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 по Hong‐Bin Shen, Kuo‐Chen Chou

    Опубликовано 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 по Hang Zhou, Yang Yang, Hong‐Bin Shen

    Опубликовано 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 по Yang Yang, Qingwei Fang, Hong‐Bin Shen

    Опубликовано 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 по Chunqiu Xia, Xiaoyong Pan, Hong‐Bin Shen

    Опубликовано 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 по Yifan Li, Xiaoyong Pan, Hong-Bin Shen

    Опубликовано 2025
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    Artigo
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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 по Hong‐Bin Shen, Jiangning Song, Kuo‐Chen Chou

    Опубликовано 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 по Jing Yang, Richard Jang, Yang Zhang, Hong-Bin Shen

    Опубликовано 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 по Xiaoyong Pan, Yongxian Fan, Junchi Yan, Hong‐Bin Shen

    Опубликовано 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 по Xiaoyong Pan, Peter Rijnbeek, Junchi Yan, Hong‐Bin Shen

    Опубликовано 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 по Kaiming Zhang, Xiaoyong Pan, Yang Yang, Hong‐Bin Shen

    Опубликовано 2019
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