Qiang Cheng

Summary

Affiliation: Southern Illinois University
Country: USA

Publications

  1. doi request reprint Sparsity optimization method for multivariate feature screening for gene expression analysis
    Qiang Cheng
    Computer Science Department, Southern Illinois University, Carbondale, Illinois, USA
    J Comput Biol 16:1241-52. 2009
  2. doi request reprint A sparse learning machine for high-dimensional data with application to microarray gene analysis
    Qiang Cheng
    Computer Science Department, Southern Illinois University Carbondale, Carbondale, IL 62901, USA
    IEEE/ACM Trans Comput Biol Bioinform 7:636-46. 2010
  3. doi request reprint The Fisher-Markov selector: fast selecting maximally separable feature subset for multiclass classification with applications to high-dimensional data
    Qiang Cheng
    Department of Computer Science, Faner Hall, Mailcode 4511, Southern Illinois University Carbondale, 1000 Faner Drive, Carbondale, IL 62901, USA
    IEEE Trans Pattern Anal Mach Intell 33:1217-33. 2011
  4. pmc Novel regulatory small RNAs in Streptococcus pyogenes
    Rafael A Tesorero
    Department of Microbiology, Southern Illinois University, Carbondale, Illinois, United States of America
    PLoS ONE 8:e64021. 2013
  5. doi request reprint Real-time vector quantization and clustering based on ordinary differential equations
    Jie Cheng
    Department of Computer Science, University of Hawaii, Hilo, HI 96720, USA
    IEEE Trans Neural Netw 22:2143-8. 2011
  6. pmc LogDet Rank Minimization with Application to Subspace Clustering
    Zhao Kang
    Computer Science Department, Southern Illinois University, Carbondale, IL 62901, USA
    Comput Intell Neurosci 2015:824289. 2015
  7. pmc A genome-wide analysis of RNA pseudoknots that stimulate efficient -1 ribosomal frameshifting or readthrough in animal viruses
    Xiaolan Huang
    Department of Computer Science, Southern Illinois University Carbondale, IL 62901, USA
    Biomed Res Int 2013:984028. 2013

Collaborators

  • Zhihua Du
  • Kyu Hong Cho
  • Ning Yu
  • Jie Cheng
  • Zhao Kang
  • Rafael A Tesorero
  • Xiaolan Huang
  • Chong Peng
  • Jordan O Wright
  • Juan P Svencionis
  • Jeong Ho Kim
  • Mehdi R Zargham
  • Mohammad R Sayeh

Detail Information

Publications8

  1. doi request reprint Sparsity optimization method for multivariate feature screening for gene expression analysis
    Qiang Cheng
    Computer Science Department, Southern Illinois University, Carbondale, Illinois, USA
    J Comput Biol 16:1241-52. 2009
    ..The effectiveness of our method is confirmed by our experimental results. The computer programs will be publicly available...
  2. doi request reprint A sparse learning machine for high-dimensional data with application to microarray gene analysis
    Qiang Cheng
    Computer Science Department, Southern Illinois University Carbondale, Carbondale, IL 62901, USA
    IEEE/ACM Trans Comput Biol Bioinform 7:636-46. 2010
    ..We use conjugate gradient-based primal-dual interior-point techniques for large-scale problems. We apply our procedure to microarray gene analysis. The effectiveness of our method is confirmed by experimental results...
  3. doi request reprint The Fisher-Markov selector: fast selecting maximally separable feature subset for multiclass classification with applications to high-dimensional data
    Qiang Cheng
    Department of Computer Science, Faner Hall, Mailcode 4511, Southern Illinois University Carbondale, 1000 Faner Drive, Carbondale, IL 62901, USA
    IEEE Trans Pattern Anal Mach Intell 33:1217-33. 2011
    ....
  4. pmc Novel regulatory small RNAs in Streptococcus pyogenes
    Rafael A Tesorero
    Department of Microbiology, Southern Illinois University, Carbondale, Illinois, United States of America
    PLoS ONE 8:e64021. 2013
    ..Further, to screen target mRNAs of an sRNA, we employed differential RNA sequencing analysis. This study provides a significant resource for future study of small RNAs and their roles in physiology and pathogenesis of S. pyogenes...
  5. doi request reprint Real-time vector quantization and clustering based on ordinary differential equations
    Jie Cheng
    Department of Computer Science, University of Hawaii, Hilo, HI 96720, USA
    IEEE Trans Neural Netw 22:2143-8. 2011
    ..The proposed system is applied to two real-world problems, providing comparable results to the best reported findings. This validates the effectiveness of our proposed approach...
  6. pmc LogDet Rank Minimization with Application to Subspace Clustering
    Zhao Kang
    Computer Science Department, Southern Illinois University, Carbondale, IL 62901, USA
    Comput Intell Neurosci 2015:824289. 2015
    ..Experimental results on motion segmentation and face clustering data demonstrate that the proposed method often outperforms state-of-the-art subspace clustering algorithms. ..
  7. pmc A genome-wide analysis of RNA pseudoknots that stimulate efficient -1 ribosomal frameshifting or readthrough in animal viruses
    Xiaolan Huang
    Department of Computer Science, Southern Illinois University Carbondale, IL 62901, USA
    Biomed Res Int 2013:984028. 2013
    ..A novel mechanism is proposed for possible involvement of the elaborated pseudoknots in the HIV1 PRF event. ..