Xiaohua Hu

Summary

Affiliation: Drexel University
Country: USA

Publications

  1. pmc Predicting gene function using few positive examples and unlabeled ones
    Yiming Chen
    Computer School of National University of Defense Technology, Changsha, Hunan, China
    BMC Genomics 11:S11. 2010
  2. pmc Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data
    Wei Kong
    Information Engineering College, Shanghai Maritime University, Haigang Ave, Shanghai, 201306, P R China
    BMC Bioinformatics 12:S7. 2011
  3. pmc A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluation method
    Illhoi Yoo
    Department of Health Management and Informatics, School of Medicine, University of Missouri Columbia, USA
    BMC Bioinformatics 8:S4. 2007
  4. doi request reprint Microarray gene cluster identification and annotation through cluster ensemble and EM-based informative textual summarization
    Xiaohua Hu
    Henan University, Kaifeng 475001, China
    IEEE Trans Inf Technol Biomed 13:832-40. 2009
  5. doi request reprint Mining, modeling, and evaluation of subnetworks from large biomolecular networks and its comparison study
    Xiaohua Hu
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    IEEE Trans Inf Technol Biomed 13:184-94. 2009
  6. ncbi request reprint Mining and analysing scale-free protein-protein interaction network
    Xiaohua Hu
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    Int J Bioinform Res Appl 1:81-101. 2005
  7. pmc Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks
    Xiaohua Hu
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    BMC Bioinformatics 8:324. 2007
  8. ncbi request reprint GE-Miner: integration of cluster ensemble and text mining for comprehensive gene expression analysis
    Xiaohua Hu
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    Int J Bioinform Res Appl 2:325-38. 2006
  9. pmc Exploratory analysis of protein translation regulatory networks using hierarchical random graphs
    Daniel D Wu
    Drexel University, Philadelphia, Pennsylvania, USA
    BMC Bioinformatics 11:S2. 2010
  10. ncbi request reprint Data mining and predictive modeling of biomolecular network from biomedical literature databases
    Xiaohua Hu
    The College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    IEEE/ACM Trans Comput Biol Bioinform 4:251-63. 2007

Detail Information

Publications20

  1. pmc Predicting gene function using few positive examples and unlabeled ones
    Yiming Chen
    Computer School of National University of Defense Technology, Changsha, Hunan, China
    BMC Genomics 11:S11. 2010
    ....
  2. pmc Exploring matrix factorization techniques for significant genes identification of Alzheimer's disease microarray gene expression data
    Wei Kong
    Information Engineering College, Shanghai Maritime University, Haigang Ave, Shanghai, 201306, P R China
    BMC Bioinformatics 12:S7. 2011
    ..To overcome the challenge requires mathematical and computational methods that are versatile enough to capture the underlying biological features and simple enough to be applied efficiently to large datasets...
  3. pmc A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluation method
    Illhoi Yoo
    Department of Health Management and Informatics, School of Medicine, University of Missouri Columbia, USA
    BMC Bioinformatics 8:S4. 2007
    ..In this paper, we introduce a coherent graph-based semantic clustering and summarization approach for biomedical literature...
  4. doi request reprint Microarray gene cluster identification and annotation through cluster ensemble and EM-based informative textual summarization
    Xiaohua Hu
    Henan University, Kaifeng 475001, China
    IEEE Trans Inf Technol Biomed 13:832-40. 2009
    ..Experimental results demonstrate that our system can obtain high-quality clusters and provide informative key terms for the gene clusters...
  5. doi request reprint Mining, modeling, and evaluation of subnetworks from large biomolecular networks and its comparison study
    Xiaohua Hu
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    IEEE Trans Inf Technol Biomed 13:184-94. 2009
    ..Experimental results on time-series gene expression data for the human cell cycle indicate that our approach is promising for subnetwork mining and simulation from large biomolecular networks...
  6. ncbi request reprint Mining and analysing scale-free protein-protein interaction network
    Xiaohua Hu
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    Int J Bioinform Res Appl 1:81-101. 2005
    ..The experiments on around 1,600 chromatin proteins indicate that our system is very promising for mining and analysing protein-protein interaction network...
  7. pmc Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks
    Xiaohua Hu
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    BMC Bioinformatics 8:324. 2007
    ..In general this presents the need for computer simulation to manipulate and understand the biomolecular network model...
  8. ncbi request reprint GE-Miner: integration of cluster ensemble and text mining for comprehensive gene expression analysis
    Xiaohua Hu
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    Int J Bioinform Res Appl 2:325-38. 2006
    ..Experimental results demonstrate that our systems can obtain high quality clusters and provide concise and informative textual summary for the gene clusters...
  9. pmc Exploratory analysis of protein translation regulatory networks using hierarchical random graphs
    Daniel D Wu
    Drexel University, Philadelphia, Pennsylvania, USA
    BMC Bioinformatics 11:S2. 2010
    ..However, research on translation regulatory networks has caught little attention in the bioinformatics and computational biology community...
  10. ncbi request reprint Data mining and predictive modeling of biomolecular network from biomedical literature databases
    Xiaohua Hu
    The College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    IEEE/ACM Trans Comput Biol Bioinform 4:251-63. 2007
    ..The integration of data mining and information extraction provides a promising direction for analyzing the biomolecular network...
  11. doi request reprint Estimating functional groups in human gut microbiome with probabilistic topic models
    Xin Chen
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    IEEE Trans Nanobioscience 11:203-15. 2012
    ..Estimating the probabilistic topic model can uncover the configuration of functional groups (the latent topic) in each sample. The experimental results demonstrate the effectiveness of our proposed method...
  12. ncbi request reprint A systems biology approach for detecting toxicity-related hotspots inside protein interaction networks
    Kaushal Desai
    Drexel University, Philadelphia, PA 19104, USA
    J Bioinform Comput Biol 9:647-62. 2011
    ..The algorithm can be applied towards analysis of any toxicity where the drugs and the physiological processes involved in the toxic mechanism are known...
  13. doi request reprint Comparison of dimensional reduction methods for detecting and visualizing novel patterns in human and marine microbiome
    Xingpeng Jiang
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    IEEE Trans Nanobioscience 12:199-205. 2013
    ..The results indicate that nonlinear methods could be a complementary technique to current linear methods in analyzing metagenomic dataset...
  14. doi request reprint Exploiting the functional and taxonomic structure of genomic data by probabilistic topic modeling
    Xin Chen
    College of Information Science and Technology, Drexel University, Philadelphia, PA 19104, USA
    IEEE/ACM Trans Comput Biol Bioinform 9:980-91. 2012
    ..The experimental results demonstrate the effectiveness of proposed method...
  15. doi request reprint Inferring microbial interaction networks based on consensus similarity network fusion
    Xingpeng Jiang
    College of Computing and Informatics, Drexel University, Philadelphia, PA, 19104, USA
    Sci China Life Sci 57:1115-20. 2014
    ..We apply the method on genus profiles derived from three microbiome datasets and we find that CSNF can discover the modular structure of microbial interaction network which cannot be identified by analyzing a single dataset. ..
  16. doi request reprint Trends in the prevalence of hospitalization attributable to hypertensive diseases among United States adults aged 35 and older from 1980 to 2007
    Longjian Liu
    Department of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, PA, USA
    Am J Cardiol 112:694-9. 2013
    ..In conclusion, the prevalence of hospitalization due to hypertensive disease significantly increased in the United States from 1980 to 2007...
  17. pmc Methods for evaluating gene expression from Affymetrix microarray datasets
    Ning Jiang
    School of Biosciences, The University of Birmingham, Edgbaston Birmingham B15 2TT, England, UK
    BMC Bioinformatics 9:284. 2008
    ....
  18. ncbi request reprint Biomedical ontology improves biomedical literature clustering performance: a comparison study
    Illhoi Yoo
    Department of Health Management and Informatics, School of Medicine, University of Missouri Columbia, Columbia, MO 65211, USA
    Int J Bioinform Res Appl 3:414-28. 2007
    ....
  19. ncbi request reprint Prediction of the disulphide bridges in proteins using SVM
    Aiguo Du
    Department of Computer Science, Georgia State University, 30303 Atlanta, GA, USA
    Int J Bioinform Res Appl 3:223-33. 2007
    ..The physical-chemical characteristics of the flanking sequences and the linear distance between the concerned cysteine pairs were also included in the encoding. An overall pair wise accuracy of 92% was obtained for the SP39 dataset...
  20. ncbi request reprint Molecular dynamic simulations of the N-terminal receiver domain of NtrC reveal intrinsic conformational flexibility in the inactive state
    Xiaohua Hu
    Department of Chemistry, The University of Memphis, Memphis, TN 38152, USA
    J Biomol Struct Dyn 23:509-18. 2006
    ..These results together suggest that the unphosphorylated NtrC receiver domain could be involved in a conformational equilibrium between two different states...