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Volumn , Issue , 2005, Pages 115-130

Modeling microarray datasets for efficient feature selection

Author keywords

Artificial datasets; Feature selection; Microarray data analysis; Molecular classification

Indexed keywords

ARTIFICIAL DATASETS; EFFICIENT FEATURE SELECTIONS; GENE EXPRESSION DATASETS; MICROARRAY DATA ANALYSIS; MICROARRAY DATA SETS; MOLECULAR CLASSIFICATION; SELECTION TECHNIQUES; SUPERVISED MACHINE LEARNING;

EID: 84884337012     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (21)
  • 1
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: Pitfalls to avoid and a recommended approach
    • Salzberg, S.: On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery 1 (1997) 317-328
    • (1997) Data Mining and Knowledge Discovery , vol.1 , pp. 317-328
    • Salzberg, S.1
  • 2
    • 84884305202 scopus 로고    scopus 로고
    • UCI repository of machine learning databases.
    • Murphy, P.M., Aha, D.W.: UCI repository of machine learning databases.
    • Murphy, P.M.1    Aha, D.W.2
  • 4
    • 0034923013 scopus 로고    scopus 로고
    • On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data
    • Newton, M.A., Kendziorski, C.M., Richmond, C.S., Blattner, F.R., Tsui, K.W.: On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data. J. Computat. Biol. 8 (2001) 37-52
    • (2001) J. Computat. Biol. , vol.8 , pp. 37-52
    • Newton, M.A.1    Kendziorski, C.M.2    Richmond, C.S.3    Blattner, F.R.4    Tsui, K.W.5
  • 5
    • 25444453725 scopus 로고    scopus 로고
    • An adaptive method for cDNA microarray normalization
    • doi:10.1186/1471-2105-6-28
    • Zhao, Y., Li, M.C., Simon, R.: An adaptive method for cDNA microarray normalization. BMC Bioinformatics 6(28) (2005) doi:10.1186/1471-2105-6-28
    • (2005) BMC Bioinformatics , vol.6 , Issue.28
    • Zhao, Y.1    Li, M.C.2    Simon, R.3
  • 9
    • 12244249636 scopus 로고    scopus 로고
    • In: Domingos, P., Faloutsos, C., Senator, T., Kargupta, H., Getoor, L. (eds.): Proc. 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Press, New York
    • Yu, L., Liu, H.: Efficiently Handling Feature Redundancy in High-Dimensional Data. In: Domingos, P., Faloutsos, C., Senator, T., Kargupta, H., Getoor, L. (eds.): Proc. 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Press, New York (2003) 685-690
    • (2003) Efficiently Handling Feature Redundancy in High-Dimensional Data , pp. 685-690
    • Yu, L.1    Liu, H.2
  • 11
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit, S., Fridlyand, J., Speed, T.: Comparison of discrimination methods for the classification of tumors using gene expression data. JASA 97 (2002) 77-87
    • (2002) JASA , vol.97 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.3
  • 12
    • 7244248755 scopus 로고    scopus 로고
    • A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression
    • Li, T., Zhang, C., Ogihara, M.: A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression. Bioinformatics 20 (2004) 2429-2437
    • (2004) Bioinformatics , vol.20 , pp. 2429-2437
    • Li, T.1    Zhang, C.2    Ogihara, M.3
  • 13
    • 0036161259 scopus 로고    scopus 로고
    • Gene Selection for Cancer Classification Using Support Vector Machines
    • Guyon, I., Weston, J., Barnill, S.: Gene Selection for Cancer Classification Using Support Vector Machines. Machine Learning 46 (2002) 389-422
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnill, S.3
  • 15
    • 84884335053 scopus 로고    scopus 로고
    • Relevance, redundancy and differential prioritization in feature selection for multiclass gene expression data
    • In: Oliveira, J.L. et al. (eds.): Proc. 6th Int'l Symposium on Biological and Medical Data Analysis (ISBMDA-05), in press.
    • Ooi, C.H., Chetty, M., Teng, S.W.: Relevance, redundancy and differential prioritization in feature selection for multiclass gene expression data. In: Oliveira, J.L. et al. (eds.): Proc. 6th Int'l Symposium on Biological and Medical Data Analysis (ISBMDA-05), in press.
    • Ooi, C.H.1    Chetty, M.2    Teng, S.W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.