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Volumn , Issue , 2008, Pages 405-409

Gene selection for predicting survival outcomes of cancer patients in microarray studies

Author keywords

[No Author keywords available]

Indexed keywords

CATEGORICAL VARIABLES; GENE EXPRESSION MICROARRAY; GENE EXPRESSION SIGNATURES; INFORMATIVE GENES; MULTIVARIATE APPROACH; OUTCOME PREDICTION; SURVIVAL ANALYSIS; SURVIVAL INFORMATION;

EID: 84878527740     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-4020-8741-7_73     Document Type: Conference Paper
Times cited : (5)

References (12)
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  • 2
    • 49649091962 scopus 로고    scopus 로고
    • Feature selection for predicting tumor metastases in microarray experiments using paired design
    • Q. Tan, M. Thomassen and T.A. Kruse. Feature selection for predicting tumor metastases in microarray experiments using paired design. Cancer Informatics, 2:133-138, 2007.
    • (2007) Cancer Informatics , vol.2 , pp. 133-138
    • Tan, Q.1    Thomassen, M.2    Kruse, T.A.3
  • 4
    • 33747360716 scopus 로고    scopus 로고
    • Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
    • S. Matsui. Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays. BMC Bioinformatics, 7:156, 2006.
    • (2006) BMC Bioinformatics , vol.7 , pp. 156
    • Matsui, S.1
  • 8
    • 34547428435 scopus 로고    scopus 로고
    • A bootstrap correspondence analysis for factorial microarray experiments with replications
    • I. Mandoiu and A. Zelikovsky (eds), LNBI 4463, Springer-Verlag Berlin Heidelberg
    • Q. Tan, J. Dahlgaard, B. M. Abdallah, W. Vach, M. Kassem and T. A. Kruse. A bootstrap correspondence analysis for factorial microarray experiments with replications. In I. Mandoiu and A. Zelikovsky (eds), ISBRA 2007, LNBI 4463, pp.73-84. Springer-Verlag Berlin Heidelberg.
    • ISBRA 2007 , pp. 73-84
    • Tan, Q.1    Dahlgaard, J.2    Abdallah, B.M.3    Vach, W.4    Kassem, M.5    Kruse, T.A.6
  • 9
    • 85072725799 scopus 로고    scopus 로고
    • A hybrid approach for biomarker discovery from microarray gene expression data for cancer classification
    • Y. Peng, W. Li and Y. Liu. A hybrid approach for biomarker discovery from microarray gene expression data for cancer classification. Cancer Informatics. 2:301-311, 2006.
    • (2006) Cancer Informatics , vol.2 , pp. 301-311
    • Peng, Y.1    Li, W.2    Liu, Y.3
  • 10
    • 33749030973 scopus 로고    scopus 로고
    • Identifying genes that contribute most to good classification in microarrays
    • S. G. Baker and B. S. Kramer. Identifying genes that contribute most to good classification in microarrays. BMC Bioinformatics. 7:407, 2006.
    • (2006) BMC Bioinformatics , vol.7 , pp. 407
    • Baker, S.G.1    Kramer, B.S.2
  • 12
    • 13444282534 scopus 로고    scopus 로고
    • Outcome signature genes in breast cancer: Is there a unique set?
    • L. Ein-Dor, I. Kela, G. Getz, D. Givol and E. Domany. Outcome signature genes in breast cancer: is there a unique set? Bioinformatics. 21:171-178, 2005.
    • (2005) Bioinformatics , vol.21 , pp. 171-178
    • Ein-Dor, L.1    Kela, I.2    Getz, G.3    Givol, D.4    Domany, E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.