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Volumn 24, Issue 1, 2014, Pages 763-770

Feature selection using mutual information based uncertainty measures for tumor classification

Author keywords

Feature selection; mutual information; neighborhood rough set; tumor classification

Indexed keywords

CANCER CLASSIFICATION; CONDITIONAL MUTUAL INFORMATION; FEATURE SELECTION ALGORITHM; MUTUAL INFORMATIONS; NEIGHBORHOOD ENTROPY; NEIGHBORHOOD ROUGH SETS; TUMOR CLASSIFICATION; UNCERTAINTY MEASURES;

EID: 84891121314     PISSN: 09592989     EISSN: None     Source Type: Journal    
DOI: 10.3233/BME-130865     Document Type: Conference Paper
Times cited : (34)

References (15)
  • 2
    • 77649237177 scopus 로고    scopus 로고
    • Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction
    • S.L. Wang, X.L. Li, S.W. Zhang, J. Gui and D.S. Huang, Tumor classification by combining PNN classifier ensemble with neighborhood rough set based gene reduction, Computers in Biology and Medicine 40 (2010), 179-189.
    • (2010) Computers in Biology and Medicine , vol.40 , pp. 179-189
    • Wang, S.L.1    Li, X.L.2    Zhang, S.W.3    Gui, J.4    Huang, D.S.5
  • 3
    • 84867880445 scopus 로고    scopus 로고
    • Feature selection using rough entropy-based uncertainty measures in incomplete decision systems
    • L. Sun, J.C. Xu and Y. Tian, Feature selection using rough entropy-based uncertainty measures in incomplete decision systems, Knowledge-Based Systems 36 (2012), 206-216.
    • (2012) Knowledge-Based Systems , vol.36 , pp. 206-216
    • Sun, L.1    Xu, J.C.2    Tian, Y.3
  • 4
    • 43749096790 scopus 로고    scopus 로고
    • Predicting cancer involvement of genes from heterogeneous data
    • R. Aragues, C. Sander and B. Oliva, Predicting cancer involvement of genes from heterogeneous data, BMC Bioinformatics 9 (2008), 172.
    • (2008) BMC Bioinformatics , vol.9 , pp. 172
    • Aragues, R.1    Sander, C.2    Oliva, B.3
  • 5
    • 27844453331 scopus 로고    scopus 로고
    • Regulation probability method for gene selection
    • H.Q. Wang and D.S. Huang, Regulation probability method for gene selection, Pattern Recognition Letters 27 (2006), 116-122.
    • (2006) Pattern Recognition Letters , vol.27 , pp. 116-122
    • Wang, H.Q.1    Huang, D.S.2
  • 6
    • 60349098399 scopus 로고    scopus 로고
    • Fuzzy-rough attribute reduction via mutual information with an application to cancer classification
    • F.F. Xu, D.Q. Miao and L.Wei, Fuzzy-rough attribute reduction via mutual information with an application to cancer classification, Computers and Mathematics with Applications 57 (2009), 1010-1017.
    • (2009) Computers and Mathematics with Applications , vol.57 , pp. 1010-1017
    • Xu, F.F.1    Miao, D.Q.2    Wei, L.3
  • 7
    • 34447343762 scopus 로고    scopus 로고
    • A hybrid genetic algorithm for feature selection wrapper based on mutual information
    • J.J. Huang, Y.Z. Cai and X.M. Xu, A hybrid genetic algorithm for feature selection wrapper based on mutual information, Pattern Recognition Letters 28 (2007), 1825-1844.
    • (2007) Pattern Recognition Letters , vol.28 , pp. 1825-1844
    • Huang, J.J.1    Cai, Y.Z.2    Xu, X.M.3
  • 8
    • 84873415332 scopus 로고    scopus 로고
    • Knowledge entropy and feature selection in incomplete decision systems
    • J.C. Xu and L. Sun, Knowledge entropy and feature selection in incomplete decision systems, Applied Mathematics & Information Sciences 7 (2013), 829-837.
    • (2013) Applied Mathematics & Information Sciences , vol.7 , pp. 829-837
    • Xu, J.C.1    Sun, L.2
  • 9
    • 84865752337 scopus 로고    scopus 로고
    • Conditional mutual information-based feature selection for congestive heart failure recognition using heart rate variability
    • S.N. Yu and M.Y. Lee, Conditional mutual information-based feature selection for congestive heart failure recognition using heart rate variability, Computer Methods and Programs in Biomedicine 108 (2012), 299-309.
    • (2012) Computer Methods and Programs in Biomedicine , vol.108 , pp. 299-309
    • Yu, S.N.1    Lee, M.Y.2
  • 11
    • 84960463485 scopus 로고    scopus 로고
    • Minimum redundancy feature selection from microarray gene expression data
    • C. Ding and H. Peng, Minimum redundancy feature selection from microarray gene expression data, in: IEEE Computer Society Conference on Bioinformatics, 2003, pp. 523-528.
    • (2003) IEEE Computer Society Conference on Bioinformatics , pp. 523-528
    • Ding, C.1    Peng, H.2
  • 12
    • 52249109156 scopus 로고    scopus 로고
    • Gene selection algorithm by combining reliefF and mRMR
    • doi:10.1186/1471-2164-9-S2-S27
    • Y. Zhang, C. Ding and T. Li, Gene selection algorithm by combining reliefF and mRMR, BMC Genomics 9 (2008), doi:10.1186/1471-2164-9-S2-S27.
    • (2008) BMC Genomics , vol.9
    • Zhang, Y.1    Ding, C.2    Li, T.3
  • 13
  • 14
    • 84855872857 scopus 로고    scopus 로고
    • Feature subset selection with cumulate conditional mutual information minimization
    • Y.S. Zhang and Z.G. Zhang, Feature subset selection with cumulate conditional mutual information minimization, Expert Systems with Applications 39 (2012), 6078-6088.
    • (2012) Expert Systems with Applications , vol.39 , pp. 6078-6088
    • Zhang, Y.S.1    Zhang, Z.G.2
  • 15
    • 0028468293 scopus 로고
    • Battiti, Using mutual information for selecting features in supervised neural net learning
    • Battiti, Using mutual information for selecting features in supervised neural net learning, IEEE Transactions on Neural Networks 5 (1994), 537-550.
    • (1994) IEEE Transactions on Neural Networks 5 , pp. 537-550


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.