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Volumn 3242, Issue , 2004, Pages 1153-1162

A novel method of searching the microarray data for the best gene subsets by using a genetic algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; GENETIC ALGORITHMS; PROBLEM SOLVING;

EID: 33749317364     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30217-9_116     Document Type: Article
Times cited : (7)

References (10)
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  • 2
    • 0033692876 scopus 로고    scopus 로고
    • Tissue Classification with Gene Expression Profiles
    • Ben-Dor A., Bruhn L. and Friedman N., et al.: Tissue Classification with Gene Expression Profiles, Computational Biology 7 (2000) 559-584
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  • 3
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    • Broad Patterns of Gene Expression Revealed by Clustering Analysis of Tumor Colon Tissues Probed by Oligonucleotide Arrays
    • Alon U.,Barkai N. and Notterman D., et al.: Broad Patterns of Gene Expression Revealed by Clustering Analysis of Tumor Colon Tissues Probed by Oligonucleotide Arrays, PNAS 96 (1999) 6745-6750
    • (1999) PNAS , vol.96 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.3
  • 4
    • 18244409933 scopus 로고    scopus 로고
    • Diffuse Large B-cell Lymphoma Outcome Prediction by Gene Expression Profiling and Supervised Machine Learning
    • Shipp M.A, Ross K.N. and Tamayo P., et al.: Diffuse Large B-cell Lymphoma Outcome Prediction by Gene Expression Profiling and Supervised Machine Learning, Nature Machine 8 (2002) 68-74
    • (2002) Nature Machine , vol.8 , pp. 68-74
    • Shipp, M.A.1    Ross, K.N.2    Tamayo, P.3
  • 5
    • 0003668558 scopus 로고    scopus 로고
    • Bayesian Classification of DNA Array Expression Data
    • Department of Computer Science & Engineering, University of Washington, Seattle
    • Keller A.D., Schummer M., and Hood L., et al.: Bayesian Classification of DNA Array Expression Data, Technical Report UW-CSE-2000-08-01, Department of Computer Science & Engineering, University of Washington, Seattle (2000)
    • (2000) Technical Report UW-CSE-2000-08-01
    • Keller, A.D.1    Schummer, M.2    Hood, L.3
  • 6
    • 84960463485 scopus 로고    scopus 로고
    • Minimum Redundancy Feature Selection from Microarray Gene Expression Data
    • Chirs Ding and Hanchuan Peng: Minimum Redundancy Feature Selection from Microarray Gene Expression Data, CSB2003 (2003) 523-529
    • (2003) CSB2003 , pp. 523-529
    • Ding, C.1    Peng, H.2
  • 7
    • 84960354764 scopus 로고    scopus 로고
    • Gene Selection for Cancer Classification Using Bootstrapped Genetic Algorithms and Support Vector Machines
    • Xue-wen Chen: Gene Selection for Cancer Classification Using Bootstrapped Genetic Algorithms and Support Vector Machines, CSB2003 (2003) 504-505
    • (2003) CSB2003 , pp. 504-505
    • Chen, X.-W.1
  • 8
    • 0037165140 scopus 로고    scopus 로고
    • Prediction of Central Nervous System Embryonal Tumor Outcome Based on Gene Expression
    • Pomeroy S.L.,Tamayo P. and Gaasenbeek M., et al.: Prediction of Central Nervous System Embryonal Tumor Outcome Based on Gene Expression, Nature 415 (2002) 436-442
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    • Pomeroy, S.L.1    Tamayo, P.2    Gaasenbeek, M.3
  • 9
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    • Normalization for cDNA Microarray Data: A Robust Composite Method Addressing Single and Multiple Slide Systematic Variation
    • Yang Y.H., Dudoit S. and Lin D.M., et al.: Normalization for cDNA Microarray Data: a Robust Composite Method Addressing Single and Multiple Slide Systematic Variation, Nucleic Acids Res. 30 (2002) e15.1-e15.10
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    • Yang, Y.H.1    Dudoit, S.2    Lin, D.M.3
  • 10
    • 3142521566 scopus 로고    scopus 로고
    • Joint Classifier and Feature Optimizationi for Cancer Diagnosis Using Gene Expression Data
    • to appear
    • Krishnapuram B., Carin L. and Hartemink A.: Joint Classifier and Feature Optimizationi for Cancer Diagnosis Using Gene Expression Data, Journal of Computational Biology (to appear)
    • Journal of Computational Biology
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.