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Volumn 14, Issue 1, 2008, Pages 108-114

How large a training set is needed to develop a classifier for microarray data?

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; GENE EXPRESSION; HUMAN; MATHEMATICAL MODEL; MICROARRAY ANALYSIS; PREVALENCE; PRIORITY JOURNAL; SAMPLE SIZE;

EID: 40749107034     PISSN: 10780432     EISSN: None     Source Type: Journal    
DOI: 10.1158/1078-0432.CCR-07-0443     Document Type: Article
Times cited : (112)

References (17)
  • 1
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by expression monitoring
    • Golub TR, Slonim DK, Tamayo P, et al. Molecular classification of cancer: class discovery and class prediction by expression monitoring. Science 1999;286:531-7.
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.R.1    Slonim, D.K.2    Tamayo, P.3
  • 2
    • 19944422061 scopus 로고    scopus 로고
    • A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer
    • Paik S, Shak S, Tang G, et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 2004;351:2817-26.
    • (2004) N Engl J Med , vol.351 , pp. 2817-2826
    • Paik, S.1    Shak, S.2    Tang, G.3
  • 3
    • 33845404310 scopus 로고    scopus 로고
    • Sample size planning for developing classifiers using high dimensional DNA microarray data
    • Dobbin KK, Simon RM. Sample size planning for developing classifiers using high dimensional DNA microarray data. Biostatistics 2007;8:101-17.
    • (2007) Biostatistics , vol.8 , pp. 101-117
    • Dobbin, K.K.1    Simon, R.M.2
  • 4
    • 0038237368 scopus 로고    scopus 로고
    • Estimating data set size requirements for classifying DNA microarray data
    • Mukherjee S, Tamayo P, Rogers S, et al. Estimating data set size requirements for classifying DNA microarray data. J Comput Biol 2003;10:119-42.
    • (2003) J Comput Biol , vol.10 , pp. 119-142
    • Mukherjee, S.1    Tamayo, P.2    Rogers, S.3
  • 5
    • 18544365698 scopus 로고    scopus 로고
    • Gene-expression profiles predict survival in patients with lung adenocarcinoma
    • Beer DG, Kardia SL, Huang CC, et al. Gene-expression profiles predict survival in patients with lung adenocarcinoma. Nat Med 2002;8:816-24.
    • (2002) Nat Med , vol.8 , pp. 816-824
    • Beer, D.G.1    Kardia, S.L.2    Huang, C.C.3
  • 6
    • 13444282534 scopus 로고    scopus 로고
    • Outcome signatures in breast cancer: Is there a unique set?
    • Ein-Dor L, Kela I, Getz G, et al. Outcome signatures in breast cancer: is there a unique set? Bioinformatics 2005;21:171-8.
    • (2005) Bioinformatics , vol.21 , pp. 171-178
    • Ein-Dor, L.1    Kela, I.2    Getz, G.3
  • 7
    • 33645825183 scopus 로고    scopus 로고
    • Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
    • Ein-Dor L, Zuk O, Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci USA 2006;103:5923-8.
    • (2006) Proc Natl Acad Sci USA , vol.103 , pp. 5923-5928
    • Ein-Dor, L.1    Zuk, O.2    Domany, E.3
  • 8
    • 13444249852 scopus 로고    scopus 로고
    • Prediction of cancer outcome with microarrays: A multiple random validation strategy
    • Michiels S, Kosciehny S, Hill C. Prediction of cancer outcome with microarrays: a multiple random validation strategy. Lancet 2005;365:488-92.
    • (2005) Lancet , vol.365 , pp. 488-492
    • Michiels, S.1    Kosciehny, S.2    Hill, C.3
  • 9
    • 33746910265 scopus 로고    scopus 로고
    • Concordance among gene-expression-based predictors for breast cancer
    • Fan C, Oh DS, Wessels L, et al. Concordance among gene-expression-based predictors for breast cancer. N Engl J Med 2006;355:560-9.
    • (2006) N Engl J Med , vol.355 , pp. 560-569
    • Fan, C.1    Oh, D.S.2    Wessels, L.3
  • 10
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A powerful approach to multiple testing
    • Benjamini Y, Hochberg Y. Controlling the false discovery rate: a powerful approach to multiple testing. J R Stat Soc Ser B 1995;57:289-300.
    • (1995) J R Stat Soc Ser B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 11
    • 3042552023 scopus 로고    scopus 로고
    • Controlling the number of false discoveries: Application to high-dimensional genomic data
    • Korn EL, Troendle JF, McShane LM, Simon R. Controlling the number of false discoveries: application to high-dimensional genomic data. J Stat Plan Inference 2003;124:378-98.
    • (2003) J Stat Plan Inference , vol.124 , pp. 378-398
    • Korn, E.L.1    Troendle, J.F.2    McShane, L.M.3    Simon, R.4
  • 12
    • 0035991757 scopus 로고    scopus 로고
    • A paradigm for class prediction using gene expression profiles
    • Radmacher MD, McShane LM, Simon R. A paradigm for class prediction using gene expression profiles. J Comput Biol 2002;9:505-11.
    • (2002) J Comput Biol , vol.9 , pp. 505-511
    • Radmacher, M.D.1    McShane, L.M.2    Simon, R.3
  • 13
    • 0037165140 scopus 로고    scopus 로고
    • Prediction of central nervous system embryonal tumour outcome based on gene expression
    • Pomeroy SL, Tamayo P, Gaasenbeek M, et al. Prediction of central nervous system embryonal tumour outcome based on gene expression. Nature 2002;415:436-42.
    • (2002) Nature , vol.415 , pp. 436-442
    • Pomeroy, S.L.1    Tamayo, P.2    Gaasenbeek, M.3
  • 14
    • 0037142053 scopus 로고    scopus 로고
    • The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma
    • Rosenwald A, Wright G, Chan WC, et al. The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. N Engl J Med 2002;346:1937-47.
    • (2002) N Engl J Med , vol.346 , pp. 1937-1947
    • Rosenwald, A.1    Wright, G.2    Chan, W.C.3
  • 15
    • 18244409687 scopus 로고    scopus 로고
    • Gene expression profiling predicts clinical outcome of breast cancer
    • van't Veer LJ, Dai H, van de Vijver MJ, et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 2002;415:530-6.
    • (2002) Nature , vol.415 , pp. 530-536
    • van't Veer, L.J.1    Dai, H.2    van de Vijver, M.J.3
  • 16
    • 19544383638 scopus 로고    scopus 로고
    • Sample size determination in microarray experiments for class comparison and prognostic classification
    • Dobbin K, Simon R. Sample size determination in microarray experiments for class comparison and prognostic classification. Biostatistics 2005;6:27-38.
    • (2005) Biostatistics , vol.6 , pp. 27-38
    • Dobbin, K.1    Simon, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.