메뉴 건너뛰기




Volumn 58, Issue 2, 2011, Pages 156-165

Cancer classification using modified extreme learning machine based on anova features

Author keywords

Analytical Hierarchy Process; Cancer Classification; Gene Expressions; Modified Extreme Learning Machine; Neural Networks

Indexed keywords


EID: 80052100184     PISSN: 1450216X     EISSN: 1450202X     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (17)
  • 8
    • 18244409933 scopus 로고    scopus 로고
    • Diffuse large B-cell lymphoma outcome prediction by gene expression profiling and supervised machine learning
    • Shipp M. A et al,.Diffuse large B-cell lymphoma outcome prediction by gene expression profiling and supervised machine learning, Nat. Med., 8,68-74.
    • Nat. Med , vol.8 , pp. 68-74
    • Shipp, M.A.1
  • 9
    • 0037452966 scopus 로고    scopus 로고
    • Generalized Singular value decomposition for comparative analysis of genome-scale expression datasets of two different organisms
    • Alter O., Brown P.O. , and Botstein D., "Generalized Singular value decomposition for comparative analysis of genome-scale expression datasets of two different organisms", Proceedings of Natural academy of Science, USA, 100(6), 3351-3356.
    • Proceedings of Natural Academy of Science, USA , vol.100 , Issue.6 , pp. 3351-3356
    • Alter, O.1    Brown, P.O.2    Botstein, D.3
  • 10
    • 0038729565 scopus 로고    scopus 로고
    • Clasication of multiple cancer types by Multicategory Support Vector Machines using gene expression data
    • Y. Lee and C. K. Lee, "Clasication of multiple cancer types by Multicategory Support Vector Machines using gene expression data", Bioinformatics, 19, 1132-1139.
    • Bioinformatics , vol.19 , pp. 1132-1139
    • Lee, Y.1    Lee, C.K.2
  • 11
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • S. Dudoit, J. Fridlyand, and T. P. Speed, "Comparison of discrimination methods for the classification of tumors using gene expression data," Journal of the American Statistical Association, vol. 97, pp. 77-87, 2002.
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 14
    • 84919405956 scopus 로고    scopus 로고
    • Relevance vector machine feature selection and classification for underwater targets
    • L. Carin and G. J. Dobeck, "Relevance vector machine feature selection and classification for underwater targets," Proceedings of OCEANS 2003, Vol. 2, pp. 22-26, 2003.
    • (2003) Proceedings of OCEANS , vol.2 , Issue.2003 , pp. 22-26
    • Carin, L.1    Dobeck, G.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.