De-Shuang Huang

Summary

Affiliation: Tongji University
Location: Shanghai, China

Publications

  1. doi request reprint Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms
    Paul Fergus
    Applied Computing Research Group, Department of Computer Science, Faculty of Engineering and Technology, Liverpool John Moors University, Byron Street, Liverpool, L3 3AF, UK
    Biomed Eng Online 16:89. 2017
  2. doi request reprint An efficient method to transcription factor binding sites imputation via simultaneous completion of multiple matrices with positional consistency
    Wei li Guo
    Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
    Mol Biosyst 13:1827-1837. 2017
  3. doi request reprint Novel human microbe-disease association prediction using network consistency projection.
    Wenzheng Bao
    Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, CaoAn Road 4800, Shanghai, 201804, China
    BMC Bioinformatics 18:543. 2017
  4. ncbi request reprint Prediction of protein-protein interactions based on protein-protein correlation using least squares regression
    De Shuang Huang
    Machine Learning and Systems Biology Lab, College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
    Curr Protein Pept Sci 15:553-60. 2014
  5. pmc t-LSE: a novel robust geometric approach for modeling protein-protein interaction networks
    Lin Zhu
    Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China
    PLoS ONE 8:e58368. 2013
  6. doi request reprint A general CPL-AdS methodology for fixing dynamic parameters in dual environments
    De Shuang Huang
    School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
    IEEE Trans Syst Man Cybern B Cybern 42:1489-500. 2012

Collaborators

  • Wenzheng Bao
  • Paul Fergus
  • Wei li Guo
  • Lin Zhu
  • Dhiya Al-Jumeily
  • Nizar Bouguila
  • Abir Hussain
  • Zhichao Jiang
  • Bing Wang
  • Zhu Hong You

Detail Information

Publications6

  1. doi request reprint Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms
    Paul Fergus
    Applied Computing Research Group, Department of Computer Science, Faculty of Engineering and Technology, Liverpool John Moors University, Byron Street, Liverpool, L3 3AF, UK
    Biomed Eng Online 16:89. 2017
    ..The primary aim is to provide a proof-of-concept that demonstrates how machine learning can be used to objectively determine when medical intervention, such as caesarean section, is required and help avoid preventable perinatal deaths...
  2. doi request reprint An efficient method to transcription factor binding sites imputation via simultaneous completion of multiple matrices with positional consistency
    Wei li Guo
    Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
    Mol Biosyst 13:1827-1837. 2017
    ..We anticipate that our approach will constitute a useful complement to experimental mapping of TF binding, which is beneficial for further study of regulation mechanisms and disease...
  3. doi request reprint Novel human microbe-disease association prediction using network consistency projection.
    Wenzheng Bao
    Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, CaoAn Road 4800, Shanghai, 201804, China
    BMC Bioinformatics 18:543. 2017
    ..It is anticipated that NCPHMDA would become an effective biological resource for clinical experimental guidance...
  4. ncbi request reprint Prediction of protein-protein interactions based on protein-protein correlation using least squares regression
    De Shuang Huang
    Machine Learning and Systems Biology Lab, College of Electronics and Information Engineering, Tongji University, Shanghai, 201804, China
    Curr Protein Pept Sci 15:553-60. 2014
    ..Therefore, LSR(+) is a powerful tool to characterize the protein-protein correlations and to infer PPI, whilst keeping high performance on prediction of PPI networks. ..
  5. pmc t-LSE: a novel robust geometric approach for modeling protein-protein interaction networks
    Lin Zhu
    Intelligent Computing Lab, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China
    PLoS ONE 8:e58368. 2013
    ..The Matlab code implementing the proposed method is freely available from the web site: http://home.ustc.edu.cn/~yzh33108/PPIModel.htm...
  6. doi request reprint A general CPL-AdS methodology for fixing dynamic parameters in dual environments
    De Shuang Huang
    School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China
    IEEE Trans Syst Man Cybern B Cybern 42:1489-500. 2012
    ..All of these aforementioned contributions are vitally important whether in theory or in practical applications. Finally, extensive experiments show that our proposed approaches are efficient and feasible...