메뉴 건너뛰기




Volumn 4234 LNCS - III, Issue , 2006, Pages 11-20

Gene feature extraction using T-test statistics and kernel partial least squares

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DATA STRUCTURES; GENES; INFORMATION ANALYSIS; STATISTICAL METHODS;

EID: 33750728004     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893295_2     Document Type: Conference Paper
Times cited : (25)

References (12)
  • 6
    • 22944474245 scopus 로고    scopus 로고
    • Gene expression analysis: Joint feature selection and classifier design
    • B. Schölkopf, K. Tsuda, and J.-P. Vert, editors. MIT
    • B. Krishnapuram, L. Carin, and A. Hartemink. Gene expression analysis: Joint feature selection and classifier design. In B. Schölkopf, K. Tsuda, and J.-P. Vert, editors, Kernel Methods in Computational Biology, pages 299-318. MIT, 2004.
    • (2004) Kernel Methods in Computational Biology , pp. 299-318
    • Krishnapuram, B.1    Carin, L.2    Hartemink, A.3
  • 7
    • 0038021028 scopus 로고    scopus 로고
    • A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns
    • H. Liu, J. Li, and L. Wong. A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns. Genome Informatics, 13:51-60, 2002.
    • (2002) Genome Informatics , vol.13 , pp. 51-60
    • Liu, H.1    Li, J.2    Wong, L.3
  • 9
    • 0037624001 scopus 로고    scopus 로고
    • Kernel partial least squares for nonlinear regression and discrimination
    • R. Rosipal. Kernel partial least squares for nonlinear regression and discrimination. Neural Network World, 13(3):291-300, 2003.
    • (2003) Neural Network World , vol.13 , Issue.3 , pp. 291-300
    • Rosipal, R.1
  • 11
    • 23944504100 scopus 로고    scopus 로고
    • FCM-SVM-RFE gene feature selection algorithm for leukemia classification from microarray gene expression data
    • Y. Tang, Y.-Q. Zhang, and Z. Huang. FCM-SVM-RFE gene feature selection algorithm for leukemia classification from microarray gene expression data. In Proceedings of IEEE International Conference on Fuzzy Systems, pages 97-101, 2005.
    • (2005) Proceedings of IEEE International Conference on Fuzzy Systems , pp. 97-101
    • Tang, Y.1    Zhang, Y.-Q.2    Huang, Z.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.