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    Author information
    First name: Kuo-Chen
    Last name: Chou
    DBLP: 64/6584
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    Below you find the publications which have been written by this author.

    Show item 1 to 39 of 39  
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    Journal article
    Bin Liu 0014, Shanyi Wang, Ren Long, Kuo-Chen Chou.
    iRSpot-EL: identify recombination spots with an ensemble learning approach.
    Bioinformatics 2017, Volume 33 (0) 2017
    Conference paper
    Xiang Cheng, Shu-Guang Zhao, Xuan Xiao, Kuo-Chen Chou.
    iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals.
    Bioinformatics 2017, Volume 33 (0) 2017
    Conference paper
    Bin Liu 0014, Longyun Fang, Ren Long, Xun Lan, Kuo-Chen Chou.
    iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo
    Bioinformatics 2016, Volume 32 (0) 2016
    Conference paper
    Bin Liu 0014, Ren Long, Kuo-Chen Chou.
    iDHS-EL: identifying DNase I hypersensitive sites by fusing three different modes of pseudo nucleotide composition into an ensemble learning framework.
    Bioinformatics 2016, Volume 32 (0) 2016
    Conference paper
    Wangren Qiu, Bi-Qian Sun, Xuan Xiao, Zhao-Chun Xu, Kuo-Chen Chou.
    iPTM-mLys: identifying multiple lysine PTM sites and their different types.
    Bioinformatics 2016, Volume 32 (0) 2016
    Conference paper
    Jianhua Jia, Liuxia Zhang, Zi Liu, Xuan Xiao, Kuo-Chen Chou.
    pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC.
    Bioinformatics 2016, Volume 32 (0) 2016
    Journal article
    Wei Chen, Xitong Zhang, Jordan Brooker, Hao Lin, Liqing Zhang, Kuo-Chen Chou.
    PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.
    Bioinformatics 2015, Volume 31 (0) 2015
    Conference paper
    Bin Liu 0014, Fule Liu, Longyun Fang, Xiaolong Wang, Kuo-Chen Chou.
    repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects.
    Bioinformatics 2015, Volume 31 (0) 2015
    Conference paper
    Bin Liu 0014, Fule Liu, Xiaolong Wang, Junjie Chen, Longyun Fang, Kuo-Chen Chou.
    Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences.
    Nucleic Acids Research 2015, Volume 43 (0) 2015
    Conference paper
    Bin Liu 0014, Deyuan Zhang, Ruifeng Xu, Jinghao Xu, Xiaolong Wang, Qingcai Chen, Qiwen Dong, Kuo-Chen Chou.
    Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection.
    Bioinformatics 2014, Volume 30 (0) 2014
    Conference paper
    Shou-Hui Guo, En-Ze Deng, Li-Qin Xu, Hui Ding, Hao Lin, Wei Chen, Kuo-Chen Chou.
    iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition.
    Bioinformatics 2014, Volume 30 (0) 2014
    Journal article
    Lei Chen, Kai-Yan Feng, Yu-Dong Cai, Kuo-Chen Chou, Hai-Peng Li.
    Predicting the network of substrate-enzyme-product triads by combining compound similarity and functional domain composition.
    BMC Bioinformatics 2010, Volume 11 (0) 2010
    Conference paper
    Lin Zhu, Jie Yang, Jiang-Ning Song, Kuo-Chen Chou, Hong-Bin Shen.
    Improving the accuracy of predicting disulfide connectivity by feature selection.
    Journal of Computational Chemistry 2010, Volume 31 (0) 2010
    Journal article
    Zhiyuan Xie, Tao Zhang, Jing-Fang Wang, Kuo-Chen Chou, Dongqing Wei.
    The computational model to predict accurately inhibitory activity for inhibitors towardsCYP3A4.
    Comp. in Bio. and Med. 2010, Volume 40 (0) 2010
    Conference paper
    Xuan Xiao, Pu Wang, Kuo-Chen Chou.
    GPCR-CA: A cellular automaton image approach for predicting G-protein-coupled receptor functional classes.
    Journal of Computational Chemistry 2009, Volume 30 (0) 2009
    Conference paper
    Qishi Du, Ri-Bo Huang, Yu-Tuo Wei, Zong-Wen Pang, Li-Qin Du, Kuo-Chen Chou.
    Fragment-based quantitative structure-activity relationship (FB-QSAR) for fragment-based drug design.
    Journal of Computational Chemistry 2009, Volume 30 (0) 2009
    Journal article
    Guillermín Agüero-Chapín, Agostinho Antunes, Florencio M. Ubeira, Kuo-Chen Chou, Humberto González Díaz.
    Comparative Study of Topological Indices of Macro/Supramolecular RNA Complex Networks.
    Journal of Chemical Information and Modeling 2008, Volume 48 (0) 2008
    Conference paper
    Qishi Du, Ri-Bo Huang, Yu-Tuo Wei, Li-Qin Du, Kuo-Chen Chou.
    Multiple field three dimensional quantitative structure-activity relationship (MF-3D-QSAR).
    Journal of Computational Chemistry 2008, Volume 29 (0) 2008
    Conference paper
    Xuan Xiao, Wei-Zhong Lin, Kuo-Chen Chou.
    Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes.
    Journal of Computational Chemistry 2008, Volume 29 (0) 2008
    Conference paper
    Qishi Du, Ri-Bo Huang, Yu-Tuo Wei, Cheng-Hua Wang, Kuo-Chen Chou.
    Peptide reagent design based on physical and chemical properties of amino acid residues.
    Journal of Computational Chemistry 2007, Volume 28 (0) 2007
    Conference paper
    Hong-Bin Shen, Kuo-Chen Chou.
    Ensemble classifier for protein fold pattern recognition.
    Bioinformatics 2006, Volume 22 (0) 2006
    Conference paper
    Tongliang Zhang, Yongsheng Ding, Kuo-Chen Chou.
    Prediction of protein subcellular location using hydrophobic patterns of amino acid sequence.
    Computational Biology and Chemistry 2006, Volume 30 (0) 2006
    Conference paper
    Qishi Du, Da-Peng Li, Wen-Zhang He, Kuo-Chen Chou.
    Heuristic molecular lipophilicity potential (HMLP): Lipophilicity and hydrophilicity of amino acid side chains.
    Journal of Computational Chemistry 2006, Volume 27 (0) 2006
    Conference paper
    Xuan Xiao, Shihuang Shao, Zheng-De Huang, Kuo-Chen Chou.
    Using pseudo amino acid composition to predict protein structural classes: Approached with complexity measure factor.
    Journal of Computational Chemistry 2006, Volume 27 (0) 2006
    Conference paper
    Kuo-Chen Chou.
    Using amphiphilic pseudo amino acid composition to predict enzyme subfamily classes.
    Bioinformatics 2005, Volume 21 (0) 2005
    Conference paper
    Kuo-Chen Chou, Yu-Dong Cai.
    Predicting protein localization in budding Yeast.
    Bioinformatics 2005, Volume 21 (0) 2005
    Conference paper
    Suzanne W. Sirois, George E. Hatzakis, Dongqing Wei, Qishi Du, Kuo-Chen Chou.
    Assessment of chemical libraries for their druggability.
    Computational Biology and Chemistry 2005, Volume 29 (0) 2005
    Conference paper
    Qishi Du, Paul G. Mezey, Kuo-Chen Chou.
    Heuristic molecular lipophilicity potential (HMLP): A 2D-QSAR study to LADH of molecular family pyrazole and derivatives.
    Journal of Computational Chemistry 2005, Volume 26 (0) 2005
    Conference paper
    Kuo-Chen Chou, Yu-Dong Cai.
    Prediction of Membrane Protein Types by Incorporating Amphipathic Effects.
    Journal of Chemical Information and Modeling 2005, Volume 45 (0) 2005
    Conference paper
    Yu-Dong Cai, Kuo-Chen Chou.
    Predicting subcellular localization of proteins in a hybridization space.
    Bioinformatics 2004, Volume 20 (0) 2004
    Conference paper
    Zheng Rong Yang, Kuo-Chen Chou.
    Bio-support vector machines for computational proteomics.
    Bioinformatics 2004, Volume 20 (0) 2004
    Conference paper
    Zheng Rong Yang, Kuo-Chen Chou.
    Predicting the linkage sites in glycoproteins using bio-basis function neural network.
    Bioinformatics 2004, Volume 20 (0) 2004
    Conference paper
    Suzanne W. Sirois, Dongqing Wei, Qishi Du, Kuo-Chen Chou.
    Virtual Screening for SARS-CoV Protease Based on KZ7088 Pharmacophore Points.
    Journal of Chemical Information and Modeling 2004, Volume 44 (0) 2004
    Conference paper
    Yu-Dong Cai, Xiao-Jun Liu, Kuo-Chen Chou.
    Prediction of protein secondary structure content by artificial neural network.
    Journal of Computational Chemistry 2003, Volume 24 (0) 2003
    Conference paper
    Zheng Rong Yang, Kuo-Chen Chou.
    Mining Biological Data Using Self-Organizing Map.
    Journal of Chemical Information and Computer Sciences 2003, Volume 43 (0) 2003
    Conference paper
    Yu-Dong Cai, Xiao-Jun Liu, Kuo-Chen Chou.
    Artificial Neural Network Model for Predicting Protein Subcellular Location.
    Computers Chemistry 2002, Volume 26 (0) 2002
    Conference paper
    Yu-Dong Cai, Xiao-Jun Liu, Xue-biao Xu, Kuo-Chen Chou.
    Prediction of Protein Structural Classes by Support Vector Machines.
    Computers Chemistry 2002, Volume 26 (0) 2002
    Conference paper
    Yu-Dong Cai, Xiao-Jun Liu, Xue-biao Xu, Kuo-Chen Chou.
    Artificial Neural Network Method for Predicting Protein Secondary Structure Content.
    Computers Chemistry 2002, Volume 26 (0) 2002
    Conference paper
    Yu-Dong Cai, Xiao-Jun Liu, Xue-biao Xu, Kuo-Chen Chou.
    Support vector machines for predicting HIV protease cleavage sites in protein.
    Journal of Computational Chemistry 2002, Volume 23 (0) 2002
    Show item 1 to 39 of 39  

    Your query returned 39 matches in the database.