Qiang Cheng

Summary

Affiliation: Southern Illinois University
Country: USA

Publications

  1. ncbi 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. ncbi 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. ncbi 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. ncbi 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

Collaborators

  • Jie Cheng
  • Mehdi R Zargham
  • Mohammad R Sayeh

Detail Information

Publications4

  1. ncbi 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. ncbi 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. ncbi 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. ncbi 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...