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Volumn 11, Issue 5, 2012, Pages

A PAUC-based estimation technique for disease classification and biomarker selection

Author keywords

Classification; Combinations of biomarkers; Gradient boosting; Partial area under the ROC curve; Screening tests; Stability selection

Indexed keywords

BIOLOGICAL MARKER;

EID: 84873517125     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.1515/1544-6115.1792     Document Type: Article
Times cited : (6)

References (38)
  • 3
    • 77949911450 scopus 로고    scopus 로고
    • Testing the additional predictive value of high-dimensional data
    • Boulesteix, A.-L. and T. Hothorn (2010): "Testing the additional predictive value of high-dimensional data", BMC Bioinformatics, 11:78.
    • (2010) BMC Bioinformatics , vol.11 , pp. 78
    • Boulesteix, A.-L.1    Hothorn, T.2
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • Breiman, L. (2001): "Random forests", Machine Learning, 45, 5-32. (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 5
    • 33745157294 scopus 로고    scopus 로고
    • Boosting for high-dimensional linear models
    • DOI 10.1214/009053606000000092
    • Bühlmann, P. (2006): "Boosting for high-dimensional linear models", The Annals of Statistics, 34, 559-583. (Pubitemid 44091386)
    • (2006) Annals of Statistics , vol.34 , Issue.2 , pp. 559-583
    • Buhlmann, P.1
  • 6
    • 41549141939 scopus 로고    scopus 로고
    • Boosting algorithms: Regularization, prediction and model fitting (with discussion)
    • Bühlmann, P. and T. Hothorn (2007): "Boosting algorithms: Regularization, prediction and model fitting (with discussion)", Statistical Science, 22, 477-522.
    • (2007) Statistical Science , vol.22 , pp. 477-522
    • Bühlmann, P.1    Hothorn, T.2
  • 7
    • 77953318018 scopus 로고    scopus 로고
    • Twin boosting: Improved feature selection and prediction
    • Bühlmann, P. and T. Hothorn (2010): "Twin boosting: Improved feature selection and prediction", Statistics and Computing, 20, 119-138.
    • (2010) Statistics and Computing , vol.20 , pp. 119-138
    • Bühlmann, P.1    Hothorn, T.2
  • 9
    • 55349109303 scopus 로고    scopus 로고
    • Regression analysis for the partial area under the ROC curve
    • Cai, T. and L. E. Dodd (2008): "Regression analysis for the partial area under the ROC curve", Statistica Sinica, 18, 817-836.
    • (2008) Statistica Sinica , vol.18 , pp. 817-836
    • Cai, T.1    Dodd, L.E.2
  • 12
    • 0038391397 scopus 로고    scopus 로고
    • Boosting for tumor classification with gene expression data
    • DOI 10.1093/bioinformatics/btf867
    • Dettling, M. and P. Bühlmann (2003): "Boosting for tumor classification with gene expression data", Bioinformatics, 19, 1061-1069. (Pubitemid 36790007)
    • (2003) Bioinformatics , vol.19 , Issue.9 , pp. 1061-1069
    • Dettling, M.1    Buhlmann, P.2
  • 13
    • 0041833610 scopus 로고    scopus 로고
    • Partial AUC estimation and regression
    • DOI 10.1111/1541-0420.00071
    • Dodd, L. E. and M. S. Pepe (2003): "Partial AUC estimation and regression", Biometrics, 59, 614-623. (Pubitemid 37093400)
    • (2003) Biometrics , vol.59 , Issue.3 , pp. 614-623
    • Dodd, L.E.1    Pepe, M.S.2
  • 15
    • 0031211090 scopus 로고    scopus 로고
    • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
    • Freund, Y. and R. Schapire (1997): "A decision-theoretic generalization of on-line learning and an application to boosting", Journal of Computer and System Sciences, 55, 119-139. (Pubitemid 127433398)
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 16
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman, J. H. (2001): "Greedy function approximation: A gradient boosting machine", The Annals of Statistics, 29, 1189-1232. (Pubitemid 33405972)
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 17
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • Friedman, J. H., T. Hastie, and R. Tibshirani (2000): "Additive logistic regression: A statistical view of boosting (with discussion)", The Annals of Statistics, 28, 337-407. (Pubitemid 33227445)
    • (2000) Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 19
    • 77953243025 scopus 로고    scopus 로고
    • A boosting method for maximizing the partial area under the ROC curve
    • Komori, O. and S. Eguchi (2010): "A boosting method for maximizing the partial area under the ROC curve", BMC Bioinformatics, 11:314.
    • (2010) BMC Bioinformatics , vol.11 , pp. 314
    • Komori, O.1    Eguchi, S.2
  • 20
    • 28944437658 scopus 로고    scopus 로고
    • Regularized ROC method for disease classification and biomarker selection with microarray data
    • DOI 10.1093/bioinformatics/bti724
    • Ma, S. and J. Huang (2005): "Regularized ROC method for disease classification and biomarker selection with microarray data", Bioinformatics, 21, 4356-4362. (Pubitemid 41782925)
    • (2005) Bioinformatics , vol.21 , Issue.24 , pp. 4356-4362
    • Ma, S.1    Huang, J.2
  • 21
    • 0024370623 scopus 로고
    • Analyzing a portion of the ROC curve
    • McClish, D. (1989): "Analyzing a portion of the ROC curve", Medical Decision Making, 9, 190-195. (Pubitemid 19181460)
    • (1989) Medical Decision Making , vol.9 , Issue.3 , pp. 190-195
    • Katzman McClish, D.1
  • 25
    • 33645072705 scopus 로고    scopus 로고
    • Combining predictors for classification using the area under the receiver operating characteristic curve
    • Pepe, M. S., T. Cai, and G. Longton (2006): "Combining predictors for classification using the area under the receiver operating characteristic curve", Biometrics, 62, 221-229.
    • (2006) Biometrics , vol.62 , pp. 221-229
    • Pepe, M.S.1    Cai, T.2    Longton, G.3
  • 26
    • 0010202247 scopus 로고    scopus 로고
    • Combining diagnostic test results to increase accuracy
    • DOI 10.1093/biostatistics/1.2.123
    • Pepe, M. S. and M. L. Thompson (2000): "Combining diagnostic test results to increase accuracy", Biostatistics, 1, 123-140. (Pubitemid 33213526)
    • (2000) Biostatistics Oxford , vol.1 , Issue.2 , pp. 123-140
    • Pepe, M.S.1    Thompson, M.L.2
  • 28
  • 29
    • 67249139015 scopus 로고    scopus 로고
    • Balanced gradient boosting from imbalanced data for clinical outcome prediction
    • Article 20
    • Teramoto, R. (2009): "Balanced gradient boosting from imbalanced data for clinical outcome prediction", Statistical Applications in Genetics and Molecular Biology, 8, Article 20.
    • (2009) Statistical Applications in Genetics and Molecular Biology , vol.8
    • Teramoto, R.1
  • 32
    • 21244485773 scopus 로고    scopus 로고
    • The partial area under the summary ROC curve
    • DOI 10.1002/sim.2103
    • Walter, S. D. (2005): "The partial area under the summary ROC curve", Statistics in Medicine, 24, 2025-2040. (Pubitemid 40895557)
    • (2005) Statistics in Medicine , vol.24 , Issue.13 , pp. 2025-2040
    • Walter, S.D.1
  • 33
    • 80052790888 scopus 로고    scopus 로고
    • Prediction-based structured variable selection through the receiver operating characteristic curves
    • Wang, Y., H. Chen, R. Li, N. Duan, and R. Lewis-Fernandez (2011): "Prediction-based structured variable selection through the receiver operating characteristic curves", Biometrics, 67, 896-905.
    • (2011) Biometrics , vol.67 , pp. 896-905
    • Wang, Y.1    Chen, H.2    Li, R.3    Duan, N.4    Lewis-Fernandez, R.5
  • 34
    • 79952327113 scopus 로고    scopus 로고
    • HingeBoost: ROC-based boost for classification and variable selection
    • Wang, Z. (2011): "HingeBoost: ROC-based boost for classification and variable selection", International Journal of Biostatistics, 7.
    • (2011) International Journal of Biostatistics , vol.7
    • Wang, Z.1
  • 35
    • 79953154460 scopus 로고    scopus 로고
    • Marker selection via maximizing the partial area under the ROC curve of linear risk scores
    • Wang, Z. and Y.-C. I. Chang (2010): "Marker selection via maximizing the partial area under the ROC curve of linear risk scores", Biostatistics, 12, 369-385.
    • (2010) Biostatistics , vol.12 , pp. 369-385
    • Wang, Z.1    Chang, Y.-C.I.2
  • 36
    • 77954378998 scopus 로고    scopus 로고
    • Buckley-James boosting for survival analysis with high-dimensional biomarker data
    • Article 24
    • Wang, Z. and C. Y. Wang (2010): "Buckley-James boosting for survival analysis with high-dimensional biomarker data", Statistical Applications in Genetics and Molecular Biology, 9, Article 24.
    • (2010) Statistical Applications in Genetics and Molecular Biology , vol.9
    • Wang, Z.1    Wang, C.Y.2
  • 38
    • 0037088346 scopus 로고    scopus 로고
    • A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets
    • DOI 10.1002/sim.1011
    • Zhang, D. D., X.-H. Zhou, D. H. Freeman, and J. L. Freeman (2002): "A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets", Statistics in Medicine, 21, 701-15. (Pubitemid 34467243)
    • (2002) Statistics in Medicine , vol.21 , Issue.5 , pp. 701-715
    • Zhang, D.D.1    Zhou, X.-H.2    Freeman Jr., D.H.3    Freeman, J.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.