메뉴 건너뛰기




Volumn 22, Issue 10, 2006, Pages 1245-1250

Avoiding model selection bias in small-sample genomic datasets

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEMENTARY DNA;

EID: 33646856024     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btl066     Document Type: Article
Times cited : (45)

References (31)
  • 1
    • 0037076322 scopus 로고    scopus 로고
    • Selection bias in gene extraction on th basis of microarray gene expression data
    • Ambroise,C. and McLachlan,G.J. (2002) Selection bias in gene extraction on th basis of microarray gene expression data. Proc. Natl Acad. Sci. USA, 98, 6562-6566.
    • (2002) Proc. Natl Acad. Sci. USA , vol.98 , pp. 6562-6566
    • Ambroise, C.1    McLachlan, G.J.2
  • 3
    • 0002183088 scopus 로고
    • Reference posterior distributions for Bayesian inference
    • Bernado,J.M. (1979) Reference posterior distributions for Bayesian inference. J. R. Statist. Soc., B41, 113-147.
    • (1979) J. R. Statist. Soc. , vol.B41 , pp. 113-147
    • Bernado, J.M.1
  • 4
    • 0041627900 scopus 로고    scopus 로고
    • Multiclass cancer classification using gene expression profiling and probabilistic neural networks
    • Lihue, Hawaii, USA, World Scientific, NJ
    • Berrar,D.P., Downes,C.S. and Dubitzky,W. (2003) Multiclass cancer classification using gene expression profiling and probabilistic neural networks. In Proceedings of the 8th Pacific Symposium on Biocomputing, Lihue, Hawaii, USA, World Scientific, NJ, pp. 5-16.
    • (2003) Proceedings of the 8th Pacific Symposium on Biocomputing , pp. 5-16
    • Berrar, D.P.1    Downes, C.S.2    Dubitzky, W.3
  • 7
    • 0000621802 scopus 로고
    • Multivariate functional interpolation and adaptive networks
    • Broomhead,D.S. and Lowe,D. (1988) Multivariate functional interpolation and adaptive networks. Complex Systems, 2, 321-355.
    • (1988) Complex Systems , vol.2 , pp. 321-355
    • Broomhead, D.S.1    Lowe, D.2
  • 8
    • 0034602774 scopus 로고    scopus 로고
    • Knowledge-based analysis of microarray gene expression data by using support vector machines
    • Brown,M.P.S. et al. (2000) Knowledge-based analysis of microarray gene expression data by using support vector machines. Proc. Natl Acad. Sci. USA, 97, 263-267.
    • (2000) Proc. Natl Acad. Sci. USA , vol.97 , pp. 263-267
    • Brown, M.P.S.1
  • 9
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • Dietterich,T. (1998) Approximate statistical tests for comparing supervised classification learning algorithms. Neural Comput., 10, 1895-1923.
    • (1998) Neural Comput. , vol.10 , pp. 1895-1923
    • Dietterich, T.1
  • 10
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit,S. et al. (2002) Comparison of discrimination methods for the classification of tumors using gene expression data. J. Am. Stat. Assoc., 97, 77-87.
    • (2002) J. Am. Stat. Assoc. , vol.97 , pp. 77-87
    • Dudoit, S.1
  • 11
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • Holm,S. (1979) A simple sequentially rejective multiple test procedure. Scand. J. Stat., 6, 65-70.
    • (1979) Scand. J. Stat. , vol.6 , pp. 65-70
    • Holm, S.1
  • 12
    • 0034954414 scopus 로고    scopus 로고
    • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
    • Khan,J. et al. (2001) Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nat. Med., 7, 673-679.
    • (2001) Nat. Med. , vol.7 , pp. 673-679
    • Khan, J.1
  • 13
    • 85164392958 scopus 로고
    • A study of cross-validation and bootstrap for accuracy estimation and model selection
    • Montréal, Québec, Canada
    • Kohavi,R. (1995) A study of cross-validation and bootstrap for accuracy estimation and model selection. In Proceedings of the International Joint Conference on Artificial Intelligence, Montréal, Québec, Canada, pp. 223-228.
    • (1995) Proceedings of the International Joint Conference on Artificial Intelligence , pp. 223-228
    • Kohavi, R.1
  • 14
    • 7244248755 scopus 로고    scopus 로고
    • A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression
    • Li,T. et al. (2004) A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression. Bioinformatics, 20, 2429-2437.
    • (2004) Bioinformatics , vol.20 , pp. 2429-2437
    • Li, T.1
  • 15
    • 33646882529 scopus 로고    scopus 로고
    • High-resolution serum proteomic patterns for ovarian cancer detection
    • Letter to the editor
    • Liotta,L.A. et al. High-resolution serum proteomic patterns for ovarian cancer detection. Letter to the editor. http://erc.endocrinology-journals.org/cgi/content/full/11/4/585.
    • Liotta, L.A.1
  • 16
    • 3042562270 scopus 로고    scopus 로고
    • Genomics, prior probability, and statistical tests of multiple hypotheses
    • Manly,K.F. et al. (2004) Genomics, prior probability, and statistical tests of multiple hypotheses. Genome Res., 14, 997-1001.
    • (2004) Genome Res. , vol.14 , pp. 997-1001
    • Manly, K.F.1
  • 17
    • 0004211265 scopus 로고    scopus 로고
    • Small sample statistics for classification error rates II: Confidence intervals and significance tests
    • Technical Report #96-22, University of California, Irvine, CA
    • Martin,J.K. and Hirschberg,D.S. (1996) Small sample statistics for classification error rates II: Confidence intervals and significance tests. Technical Report #96-22, University of California, Irvine, CA.
    • (1996)
    • Martin, J.K.1    Hirschberg, D.S.2
  • 18
    • 0042847140 scopus 로고    scopus 로고
    • Inference for generalization error
    • Nadeau,C. and Bengio,Y. (2003) Inference for generalization error. Mach. Learn., 52, 239-281.
    • (2003) Mach. Learn. , vol.52 , pp. 239-281
    • Nadeau, C.1    Bengio, Y.2
  • 21
    • 0035991757 scopus 로고    scopus 로고
    • A paradigm for class prediction using gene expression profiles
    • Radmacher,M.D. et al. (2002) A paradigm for class prediction using gene expression profiles. J. Comput. Biol., 9, 505-511.
    • (2002) J. Comput. Biol. , vol.9 , pp. 505-511
    • Radmacher, M.D.1
  • 22
    • 0347201147 scopus 로고    scopus 로고
    • Multiclass cancer diagnosis using tumor gene expression signatures
    • Ramaswamy,S. et al. (2001) Multiclass cancer diagnosis using tumor gene expression signatures. Proc. Natl Acad. Sci. USA, 98, 15149-15154.
    • (2001) Proc. Natl Acad. Sci. USA , vol.98 , pp. 15149-15154
    • Ramaswamy, S.1
  • 24
    • 0034050902 scopus 로고    scopus 로고
    • Systematic variation in gene expression patterns in human cancer cell lines
    • Ross,D.T. et al. (2000) Systematic variation in gene expression patterns in human cancer cell lines. Nat. Gen., 24, 227-235.
    • (2000) Nat. Gen. , vol.24 , pp. 227-235
    • Ross, D.T.1
  • 25
    • 0034088857 scopus 로고    scopus 로고
    • A gene expression database for the molecular pharmacology of cancer
    • Scherf,U. et al. (2000) A gene expression database for the molecular pharmacology of cancer. Nat. Gen., 24, 236-244.
    • (2000) Nat. Gen. , vol.24 , pp. 236-244
    • Scherf, U.1
  • 27
    • 0042923097 scopus 로고    scopus 로고
    • Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: Curses, caveats, cautions
    • Somorjai,R.L. et al. (2003) Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: Curses, caveats, cautions. Bioinformatics, 19, 1484-1491.
    • (2003) Bioinformatics , vol.19 , pp. 1484-1491
    • Somorjai, R.L.1
  • 28
    • 15844413351 scopus 로고    scopus 로고
    • A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis
    • Statnikov,A., Aliferis,C.F., Tsamardinos,I., Hardin,D. and Levy,S. (2005) A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics, 21, 631-643.
    • (2005) Bioinformatics , vol.21 , pp. 631-643
    • Statnikov, A.1    Aliferis, C.F.2    Tsamardinos, I.3    Hardin, D.4    Levy, S.5
  • 29
    • 2942601439 scopus 로고    scopus 로고
    • Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data
    • Wang,J. et al. (2003) Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data. BMC Bioinformatics, 4, 60.
    • (2003) BMC Bioinformatics , vol.4 , pp. 60
    • Wang, J.1
  • 30
    • 19044399684 scopus 로고    scopus 로고
    • Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
    • Yeoh,E.J. et al. (2002) Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell, 1, 133-143.
    • (2002) Cancer Cell , vol.1 , pp. 133-143
    • Yeoh, E.J.1
  • 31
    • 0035810997 scopus 로고    scopus 로고
    • Recursive partitioning for tumor classification with gene expression microarray data
    • Zhang,H. et al. (2001) Recursive partitioning for tumor classification with gene expression microarray data. Proc. Natl Acad. Sci. USA, 98, 6730-6735.
    • (2001) Proc. Natl Acad. Sci. USA , vol.98 , pp. 6730-6735
    • Zhang, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.