메뉴 건너뛰기




Volumn 4774 LNBI, Issue , 2007, Pages 230-241

Correlation-based relevancy and redundancy measures for efficient gene selection

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; HEURISTIC ALGORITHMS; SET THEORY;

EID: 38349065447     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75286-8_23     Document Type: Conference Paper
Times cited : (1)

References (21)
  • 2
    • 1342330535 scopus 로고    scopus 로고
    • Is cross-validation valid for small-sample microarray classification?
    • Braga-Neto, U.M., Dougherty, E.R.: Is cross-validation valid for small-sample microarray classification? Bioinformatics 20(3), 374-380 (2004b)
    • (2004) Bioinformatics , vol.20 , Issue.3 , pp. 374-380
    • Braga-Neto, U.M.1    Dougherty, E.R.2
  • 3
    • 84960463485 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarray gene expression data
    • IEEE Computer Society Press, Los Alamitos
    • Ding, C., Peng, H.: Minimum redundancy feature selection from microarray gene expression data. In: Proceedings of 2nd IEEE Computer Society Bioinformatics Conference. IEEE Computer Society Press, Los Alamitos (2003a)
    • (2003) Proceedings of 2nd IEEE Computer Society Bioinformatics Conference
    • Ding, C.1    Peng, H.2
  • 4
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit, S., Fridyand, J., Speed, T.P.: Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association 97, 77-87 (2002)
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 77-87
    • Dudoit, S.1    Fridyand, J.2    Speed, T.P.3
  • 6
    • 27544442586 scopus 로고    scopus 로고
    • Analysis of recursive gene selection approaches from microarray data
    • Fan, L., Yang, Y.: Analysis of recursive gene selection approaches from microarray data. Bioinformatics 21(19), 3741-3747 (2005)
    • (2005) Bioinformatics , vol.21 , Issue.19 , pp. 3741-3747
    • Fan, L.1    Yang, Y.2
  • 7
    • 2942602999 scopus 로고    scopus 로고
    • Entropy-based gene ranking without selection bias for the predictive classification of microarray data
    • Furlanello, C., Serafini, M., Merler, S., Jurman, G.: Entropy-based gene ranking without selection bias for the predictive classification of microarray data. BMC Bioinformatics 4(54) (2003)
    • (2003) BMC Bioinformatics , vol.4 , Issue.54
    • Furlanello, C.1    Serafini, M.2    Merler, S.3    Jurman, G.4
  • 10
    • 14644433026 scopus 로고    scopus 로고
    • A semiparametric approach for marker gene selection based on gene expression data
    • Guan, Z., Zhao, H.: A semiparametric approach for marker gene selection based on gene expression data. Bioinformatics 21(4), 529-536 (2005)
    • (2005) Bioinformatics , vol.21 , Issue.4 , pp. 529-536
    • Guan, Z.1    Zhao, H.2
  • 11
    • 21444446838 scopus 로고    scopus 로고
    • Penalized cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data
    • Gui, J., Li, H.: Penalized cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. Bioinformatics 21(13), 3001-3008 (2005)
    • (2005) Bioinformatics , vol.21 , Issue.13 , pp. 3001-3008
    • Gui, J.1    Li, H.2
  • 12
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I., Weston, J., Barnhill, S., Vapnik, V.: Gene selection for cancer classification using support vector machines. Machine Learning 46(1-3), 389-422 (2002)
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 13
    • 85065703189 scopus 로고    scopus 로고
    • Correlation-based feature selection for discrete and numeric class machine learning
    • San Francisco, CA, USA
    • Hall, M.: Correlation-based feature selection for discrete and numeric class machine learning. In: Proceedings of Seventeenth International Conference on Machine Learning, San Francisco, CA, USA (2000)
    • (2000) Proceedings of Seventeenth International Conference on Machine Learning
    • Hall, M.1
  • 14
    • 0036772522 scopus 로고    scopus 로고
    • Bayesian automatic relevance determination algorithms for classifying gene expression data
    • Li, Y., Campbell, C., Tipping, M.: Bayesian automatic relevance determination algorithms for classifying gene expression data. Bioinformatics 18(10), 1332-1339 (2002)
    • (2002) Bioinformatics , vol.18 , Issue.10 , pp. 1332-1339
    • Li, Y.1    Campbell, C.2    Tipping, M.3
  • 15
    • 25444528240 scopus 로고    scopus 로고
    • Entropy-based gene selection for cancer classification using microarray data
    • Liu, X., Krishnan, A., Mondry, A.: Entropy-based gene selection for cancer classification using microarray data. BMC Bioinformatics 6(76) (2005)
    • (2005) BMC Bioinformatics , vol.6 , Issue.76
    • Liu, X.1    Krishnan, A.2    Mondry, A.3
  • 16
    • 0037165140 scopus 로고    scopus 로고
    • Prediction of central nervous system embryonal tumour outcome based on gene expression
    • Pomeroy, S.L.: Prediction of central nervous system embryonal tumour outcome based on gene expression. Nature 415 (2002)
    • (2002) Nature , vol.415
    • Pomeroy, S.L.1
  • 17
    • 18244409687 scopus 로고    scopus 로고
    • van't Veer, Dai, H., van de Vijver, He, Y.D., Hart, A.A., Mao, M., Peterse, H.L., van der Kooy, Marton, M.J., Witteveen, A.T., Schreiber, G.J., Kerkhoven, R.M., Roberts, C., Linsley, P.S., Bernards, R., Friend, S.H.: Gene expression profiling predicts clinical outcome of breast cancer. Nature 415 (2002)
    • van't Veer, Dai, H., van de Vijver, He, Y.D., Hart, A.A., Mao, M., Peterse, H.L., van der Kooy, Marton, M.J., Witteveen, A.T., Schreiber, G.J., Kerkhoven, R.M., Roberts, C., Linsley, P.S., Bernards, R., Friend, S.H.: Gene expression profiling predicts clinical outcome of breast cancer. Nature 415 (2002)
  • 19
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • Yu, L., Liu, H.: Efficient feature selection via analysis of relevance and redundancy. Journal of Machine Learning Research 5 (2004)
    • (2004) Journal of Machine Learning Research , vol.5
    • Yu, L.1    Liu, H.2
  • 20
    • 30344438839 scopus 로고    scopus 로고
    • Gene selection using support vector machines with non-convex penalty
    • Zhang, H.H., Ahn, J., Lin, X., Park, C.: Gene selection using support vector machines with non-convex penalty. Bioinformatics 22(1), 88-95 (2006)
    • (2006) Bioinformatics , vol.22 , Issue.1 , pp. 88-95
    • Zhang, H.H.1    Ahn, J.2    Lin, X.3    Park, C.4
  • 21
    • 17444368679 scopus 로고    scopus 로고
    • Ls bound based gene selection for dna microarray data
    • Zhou, X., Mao, K.Z.: Ls bound based gene selection for dna microarray data. Bioinformatics 21(8), 1559-1564 (2005)
    • (2005) Bioinformatics , vol.21 , Issue.8 , pp. 1559-1564
    • Zhou, X.1    Mao, K.Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.