Hasil Pencarian - Kuo-Chen Chou

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  1. 1
    Insights into the mutation-induced HHH syndrome from modeling human mitochondrial ornithine transporter-1.

    Insights into the mutation-induced HHH syndrome from modeling human mitochondrial ornithine transporter-1. oleh Jing-Fang Wang, Kuo-Chen Chou

    Diterbitkan 2012-01-01
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  2. 2
    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. oleh Kuo-Chen Chou, Hong-Bin Shen

    Diterbitkan 2010-04-01
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  3. 3
    Insights from modeling the 3D structure of New Delhi metallo-β-lactamse and its binding interactions with antibiotic drugs.

    Insights from modeling the 3D structure of New Delhi metallo-β-lactamse and its binding interactions with antibiotic drugs. oleh Jing-Fang Wang, Kuo-Chen Chou

    Diterbitkan 2011-04-01
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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. oleh Kuo-Chen Chou, Hong-Bin Shen

    Diterbitkan 2010-06-01
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  5. 5
    NR-2L: a two-level predictor for identifying nuclear receptor subfamilies based on sequence-derived features.

    NR-2L: a two-level predictor for identifying nuclear receptor subfamilies based on sequence-derived features. oleh Pu Wang, Xuan Xiao, Kuo-Chen Chou

    Diterbitkan 2011-01-01
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  6. 6
    2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

    2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function oleh Bin Liu, Fan Yang, Kuo-Chen Chou

    Diterbitkan 2017-06-01
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  7. 7
    iNR-PhysChem: a sequence-based predictor for identifying nuclear receptors and their subfamilies via physical-chemical property matrix.

    iNR-PhysChem: a sequence-based predictor for identifying nuclear receptors and their subfamilies via physical-chemical property matrix. oleh Xuan Xiao, Pu Wang, Kuo-Chen Chou

    Diterbitkan 2012-01-01
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  8. 8
    iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins.

    iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins. oleh Kuo-Chen Chou, Zhi-Cheng Wu, Xuan Xiao

    Diterbitkan 2011-03-01
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  9. 9
    A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites.

    A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites. oleh Xuan Xiao, Zhi-Cheng Wu, Kuo-Chen Chou

    Diterbitkan 2011-01-01
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  10. 10
    iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components

    iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components oleh Wang-Ren Qiu, Xuan Xiao, Kuo-Chen Chou

    Diterbitkan 2014-01-01
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  11. 11
    iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking.

    iGPCR-drug: a web server for predicting interaction between GPCRs and drugs in cellular networking. oleh Xuan Xiao, Jian-Liang Min, Pu Wang, Kuo-Chen Chou

    Diterbitkan 2013-01-01
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  12. 12
    Remote data retrieval for bioinformatics applications: an agent migration approach.

    Remote data retrieval for bioinformatics applications: an agent migration approach. oleh Lei Gao, Hua Dai, Tong-Liang Zhang, Kuo-Chen Chou

    Diterbitkan 2011-01-01
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  13. 13
    Predicting secretory proteins of malaria parasite by incorporating sequence evolution information into pseudo amino acid composition via grey system model.

    Predicting secretory proteins of malaria parasite by incorporating sequence evolution information into pseudo amino acid composition via grey system model. oleh Wei-Zhong Lin, Jian-An Fang, Xuan Xiao, Kuo-Chen Chou

    Diterbitkan 2012-01-01
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  14. 14
    iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition.

    iSNO-PseAAC: predict cysteine S-nitrosylation sites in proteins by incorporating position specific amino acid propensity into pseudo amino acid composition. oleh Yan Xu, Jun Ding, Ling-Yun Wu, Kuo-Chen Chou

    Diterbitkan 2013-01-01
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  15. 15
    Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property.

    Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property. oleh Tao Huang, Lei Chen, Yu-Dong Cai, Kuo-Chen Chou

    Diterbitkan 2011-01-01
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  16. 16
    Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition

    Benchmark data for identifying DNA methylation sites via pseudo trinucleotide composition oleh Zi Liu, Xuan Xiao, Wang-Ren Qiu, Kuo-Chen Chou

    Diterbitkan 2015-09-01
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  17. 17
    iDNA-Prot: identification of DNA binding proteins using random forest with grey model.

    iDNA-Prot: identification of DNA binding proteins using random forest with grey model. oleh Wei-Zhong Lin, Jian-An Fang, Xuan Xiao, Kuo-Chen Chou

    Diterbitkan 2011-01-01
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  18. 18
    iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking

    iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking oleh Yue-Nong Fan, Xuan Xiao, Jian-Liang Min, Kuo-Chen Chou

    Diterbitkan 2014-03-01
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  19. 19
    Benchmark data for identifying N6-methyladenosine sites in the Saccharomyces cerevisiae genome

    Benchmark data for identifying N6-methyladenosine sites in the Saccharomyces cerevisiae genome oleh Wei Chen, Pengmian Feng, Hui Ding, Hao Lin, Kuo-Chen Chou

    Diterbitkan 2015-12-01
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  20. 20
    Prediction of body fluids where proteins are secreted into based on protein interaction network.

    Prediction of body fluids where proteins are secreted into based on protein interaction network. oleh Le-Le Hu, Tao Huang, Yu-Dong Cai, Kuo-Chen Chou

    Diterbitkan 2011-01-01
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