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Volumn 4478 LNCS, Issue PART 2, 2007, Pages 483-490

Random forest for gene expression based cancer classification: Overlooked issues

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); ONCOLOGY; PATTERN RECOGNITION; RANDOM PROCESSES; VIRTUAL REALITY;

EID: 38049134913     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72849-8_61     Document Type: Conference Paper
Times cited : (52)

References (19)
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    • Svetnik, V., Liaw, A., Tong, C., Wang, T.: Application of Breiman's Random Forest to Modeling Structure-Activity Relationships of Pharmaceutical Molecules. In: Roli, F., Kittler, J., Windeatt, T. (eds.) MCS 2004. LNCS, vol. 3077, pp. 334-343. Springer, Heidelberg (2004)
  • 3
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    • Comparison of Statistical Methods for Classification of Ovarian Cancer Using Mass Spectrometry Data
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    • Wu, B.1    Abbot, T.2    Fishman, D.3    McMurray, W.4    Mor, G.5    Stone, K.6    Ward, D.7    Williams, K.8    Zhao, H.9
  • 6
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    • Prediction of Clinical Drug Efficacy by Classification of Drug-Induced Genomic Expression Profiles in Vitro
    • Gunther, E.C., Stone, D.J., Gerwein, R.W., Bento, P., Heyes, M.P.: Prediction of Clinical Drug Efficacy by Classification of Drug-Induced Genomic Expression Profiles in Vitro. Proc. Natl. Acad. Sci. 100, 9608-9613 (2003)
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  • 8
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    • Random Forests
    • Breiman, L.: Random Forests. Machine Learning 45, 5-32 (2001)
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    • Breiman, L.1
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    • http://www.sagenet.org
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    • Serial Analysis of Gene Expression (SAGE) in Cancer Research
    • Ladanyi, M, Gerald, W.L, eds, Humana Press, Totowa, NJ
    • Aldaz, M.C.: Serial Analysis of Gene Expression (SAGE) in Cancer Research. In: Ladanyi, M., Gerald, W.L. (eds.) Expression Profiling of Human Tumors: Diagnostic and Research Applications, pp. 47-60. Humana Press, Totowa, NJ (2003)
    • (2003) Expression Profiling of Human Tumors: Diagnostic and Research Applications , pp. 47-60
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    • Guide to the Gene Expression Data
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    • Gandrillon, O.: Guide to the Gene Expression Data. In: Berka, P., Crémilleux, B. (eds.) Proc. the ECML/PKDD Discovery Challenge Workshop, Pisa, Italy, pp. 116-120 (2004)
    • (2004) Proc. the ECML/PKDD Discovery Challenge Workshop , pp. 116-120
    • Gandrillon, O.1
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    • Outcome Signature Genes in Breast Cancer: Is There a Unique Set?
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.