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Volumn 16, Issue 5, 2014, Pages 873-883

A selective review of robust variable selection with applications in bioinformatics

Author keywords

Bioinformatics study; Penalization; robust methods; Variable selection

Indexed keywords

BIOLOGY; THEORETICAL MODEL;

EID: 84941756268     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbu046     Document Type: Article
Times cited : (84)

References (47)
  • 1
    • 33749241695 scopus 로고    scopus 로고
    • Regulation of gene expression in the mammalian eye and its relevance to eye disease
    • Scheetz T, Kim K, Swiderski R, et al. Regulation of gene expression in the mammalian eye and its relevance to eye disease. Proc Natl Acad Sci 2006;103:14429-34.
    • (2006) Proc Natl Acad Sci , vol.103 , pp. 14429-14434
    • Scheetz, T.1    Kim, K.2    Swiderski, R.3
  • 2
    • 77955057877 scopus 로고    scopus 로고
    • L1-penalization for mixture regression models
    • Städler N, Bühlmann P, van de Geer S. L1-penalization for mixture regression models. Test 2010;19:209-56.
    • (2010) Test , vol.19 , pp. 209-256
    • Städler, N.1    Bühlmann, P.2    van de Geer, S.3
  • 3
    • 53849089038 scopus 로고    scopus 로고
    • High dimensional classification using features annealed independence rules
    • Fan J, Fan Y. High dimensional classification using features annealed independence rules. Ann Statist 2008;36:2605-73.
    • (2008) Ann Statist , vol.36 , pp. 2605-2673
    • Fan, J.1    Fan, Y.2
  • 4
    • 77949352853 scopus 로고    scopus 로고
    • A selective review of variable selection in high dimensional feature space
    • Fan JQ, Lv J. A selective review of variable selection in high dimensional feature space. Statist Sin 2010;20:104-48.
    • (2010) Statist Sin , vol.20 , pp. 104-148
    • Fan, J.Q.1    Lv, J.2
  • 5
    • 84881235959 scopus 로고    scopus 로고
    • A tutorial on rank-based coefficient estimation for censored data in smalland large-scale problems
    • Chung M, Long Q, Johnson B. A tutorial on rank-based coefficient estimation for censored data in smalland large-scale problems. Stat Comput 2013;23:601-14.
    • (2013) Stat Comput , vol.23 , pp. 601-614
    • Chung, M.1    Long, Q.2    Johnson, B.3
  • 6
    • 41949088050 scopus 로고    scopus 로고
    • L1-norm quantile regression
    • Li Y, Zhu J. L1-norm quantile regression. J Comput Graph Statist 2008;17:163-85.
    • (2008) J Comput Graph Statist , vol.17 , pp. 163-185
    • Li, Y.1    Zhu, J.2
  • 7
    • 68149091660 scopus 로고    scopus 로고
    • Variable selection in quantile regression
    • Wu Y, Liu Y. Variable selection in quantile regression. Statist Sin 2009;37:801-17.
    • (2009) Statist Sin , vol.37 , pp. 801-817
    • Wu, Y.1    Liu, Y.2
  • 8
    • 79551613968 scopus 로고    scopus 로고
    • L1 penalized quantile regression in high dimensional sparse models
    • Belloni A, Chernozhukov V. L1 penalized quantile regression in high dimensional sparse models. Ann Statist 2011;39:82-130.
    • (2011) Ann Statist , vol.39 , pp. 82-130
    • Belloni, A.1    Chernozhukov, V.2
  • 9
    • 84862902634 scopus 로고    scopus 로고
    • Quantile regression for analyzing heterogeneity in ultrahigh dimension
    • Wang L, Wu Y, Li R. Quantile regression for analyzing heterogeneity in ultrahigh dimension. J Am Stat Assoc 2012;107:214-22.
    • (2012) J Am Stat Assoc , vol.107 , pp. 214-222
    • Wang, L.1    Wu, Y.2    Li, R.3
  • 10
    • 84941776513 scopus 로고    scopus 로고
    • An iterative coordinate descent algorithm for high-dimensional nonconvex penalized quantile regression
    • (In Press)
    • Peng B, Wang L. An iterative coordinate descent algorithm for high-dimensional nonconvex penalized quantile regression. J Comput Graph Statist 2014. DOI:10.1080/10618600.2014.913516 (In Press).
    • (2014) J Comput Graph Statist
    • Peng, B.1    Wang, L.2
  • 11
    • 84987950402 scopus 로고    scopus 로고
    • Adaptive robust variable selection
    • Fan Y, Fan J, Barut E. Adaptive robust variable selection. Ann Statist 2014;42:324-51.
    • (2014) Ann Statist , vol.42 , pp. 324-351
    • Fan, Y.1    Fan, J.2    Barut, E.3
  • 12
    • 47749088574 scopus 로고    scopus 로고
    • Regularized simultaneous model selection in multiple quantiles regression
    • Zou H, Yuan M. Regularized simultaneous model selection in multiple quantiles regression. Comput Stat Data An 2008;52:5296-304.
    • (2008) Comput Stat Data An , vol.52 , pp. 5296-5304
    • Zou, H.1    Yuan, M.2
  • 13
    • 51049119407 scopus 로고    scopus 로고
    • Composite quantile regression and the oracle model selection theory
    • Zou H, Yuan M. Composite quantile regression and the oracle model selection theory. Ann Statist 2008;36:1108-26.
    • (2008) Ann Statist , vol.36 , pp. 1108-1126
    • Zou, H.1    Yuan, M.2
  • 14
    • 79955022769 scopus 로고    scopus 로고
    • Penalized composite quasi-likelihood for ultrahigh-dimensional variable selection
    • Bradic J, Fan J, Wang W. Penalized composite quasi-likelihood for ultrahigh-dimensional variable selection. J R Statist Soc Ser B 2011;73:325-49.
    • (2011) J R Statist Soc Ser B , vol.73 , pp. 325-349
    • Bradic, J.1    Fan, J.2    Wang, W.3
  • 16
    • 84883721624 scopus 로고    scopus 로고
    • Variable selection for censored quantile regression
    • Wang H, Zhou J, Li Y. Variable selection for censored quantile regression. Stat Sinica 2013;23:145-67.
    • (2013) Stat Sinica , vol.23 , pp. 145-167
    • Wang, H.1    Zhou, J.2    Li, Y.3
  • 17
    • 34547164089 scopus 로고    scopus 로고
    • Robust regression shrinkage and consistent variable selection through the lad-LASSO
    • Wang H, Li G, Jiang G. Robust regression shrinkage and consistent variable selection through the lad-LASSO. J Bus Econ Stat 2007;25:347-55.
    • (2007) J Bus Econ Stat , vol.25 , pp. 347-355
    • Wang, H.1    Li, G.2    Jiang, G.3
  • 18
    • 78349267906 scopus 로고    scopus 로고
    • Asymptotic analysis of high-dimensional LAD regression with LASSO
    • Gao X, Huang J. Asymptotic analysis of high-dimensional LAD regression with LASSO. Stat Sinica 2010;20:1485-506.
    • (2010) Stat Sinica , vol.20 , pp. 1485-1506
    • Gao, X.1    Huang, J.2
  • 19
    • 84879165356 scopus 로고    scopus 로고
    • The L1 penalized LAD estimator for high dimensional linear regression
    • Wang L. The L1 penalized LAD estimator for high dimensional linear regression. J Multivar Anal 2013;120:135-51.
    • (2013) J Multivar Anal , vol.120 , pp. 135-151
    • Wang, L.1
  • 20
    • 84859863552 scopus 로고    scopus 로고
    • Robust regression through the Hubers criterion and adaptive LASSO penalty
    • Lambert-Lacroix S, Zwald L. Robust regression through the Hubers criterion and adaptive LASSO penalty. Electron J Stat 2011;16:1015-53.
    • (2011) Electron J Stat , vol.16 , pp. 1015-1053
    • Lambert-lacroix, S.1    Zwald, L.2
  • 22
    • 0001577150 scopus 로고
    • Estimating regression coefficients by minimizing the dispersion of residuals
    • Jaeckel LA. Estimating regression coefficients by minimizing the dispersion of residuals. Ann Math Stat 1972;43:1449-58.
    • (1972) Ann Math Stat , vol.43 , pp. 1449-1458
    • Jaeckel, L.A.1
  • 23
    • 45849125768 scopus 로고    scopus 로고
    • Rank-based variable selection
    • Johnson B, Peng L. Rank-based variable selection. J Nonparametr Stat 2008;20:241-52.
    • (2008) J Nonparametr Stat , vol.20 , pp. 241-252
    • Johnson, B.1    Peng, L.2
  • 24
    • 66949149744 scopus 로고    scopus 로고
    • Wighted Wilcoxon-type smoothly clipped absolute deviation method
    • Wang L, Li R. Wighted Wilcoxon-type smoothly clipped absolute deviation method. Biometrics 2009;65:564-71.
    • (2009) Biometrics , vol.65 , pp. 564-571
    • Wang, L.1    Li, R.2
  • 25
    • 66949149020 scopus 로고    scopus 로고
    • Regularized estimation for the accelerated failure time model
    • Cai T, Huang J, Tian L. Regularized estimation for the accelerated failure time model. Biometrics 2009;65:394-404.
    • (2009) Biometrics , vol.65 , pp. 394-404
    • Cai, T.1    Huang, J.2    Tian, L.3
  • 26
    • 77953326454 scopus 로고    scopus 로고
    • Rank-based variable selection with censored data
    • Xu J, Leng C, Ying Z. Rank-based variable selection with censored data. Stat Comput 2010;20:165-76.
    • (2010) Stat Comput , vol.20 , pp. 165-176
    • Xu, J.1    Leng, C.2    Ying, Z.3
  • 27
    • 74349131495 scopus 로고    scopus 로고
    • Rank-based estimation in the L1-regularized partly linear model for censored outcomes with application to integrated analyses of clinical predictors and gene expression data
    • Johnson B. Rank-based estimation in the L1-regularized partly linear model for censored outcomes with application to integrated analyses of clinical predictors and gene expression data. Biostatistics 2009;10:659-66.
    • (2009) Biostatistics , vol.10 , pp. 659-666
    • Johnson, B.1
  • 28
    • 84895920054 scopus 로고    scopus 로고
    • A penalized robust method for identifying gene-environment interactions
    • Shi X, Liu J, Huang J, et al. A penalized robust method for identifying gene-environment interactions. Genet Epidemiol 2014;38:220-30.
    • (2014) Genet Epidemiol , vol.38 , pp. 220-230
    • Shi, X.1    Liu, J.2    Huang, J.3
  • 29
    • 84883313972 scopus 로고    scopus 로고
    • Robust variable selection with exponential squared loss
    • Wang X, Jiang Y, Huang M, et al. Robust variable selection with exponential squared loss. J Am Stat Assoc 2013;108:632-43.
    • (2013) J Am Stat Assoc , vol.108 , pp. 632-643
    • Wang, X.1    Jiang, Y.2    Huang, M.3
  • 30
    • 35348854001 scopus 로고    scopus 로고
    • Variable selection in finite mixture of regression models
    • Khalili A, Chen J. Variable selection in finite mixture of regression models. J Am Stat Assoc 2007;102:1025-38.
    • (2007) J Am Stat Assoc , vol.102 , pp. 1025-1038
    • Khalili, A.1    Chen, J.2
  • 31
    • 84865455033 scopus 로고    scopus 로고
    • On the robustness of the adaptive LASSO to model misspecification
    • Lu W, Goldberg Y, Fine J. On the robustness of the adaptive LASSO to model misspecification. Biometrika 2012;99:717-31.
    • (2012) Biometrika , vol.99 , pp. 717-731
    • Lu, W.1    Goldberg, Y.2    Fine, J.3
  • 33
    • 69249230467 scopus 로고    scopus 로고
    • A review of Bayesian variable selection methods: What, how and which
    • O'Hara RB, Sillanpää MJ. A review of Bayesian variable selection methods: what, how and which. Bayesian Anal 2009;4:85-118.
    • (2009) Bayesian Anal , vol.4 , pp. 85-118
    • O'Hara, R.B.1    Sillanpää, M.J.2
  • 34
    • 77958487535 scopus 로고    scopus 로고
    • Stability selection (with discussion)
    • Meinshausen M, Buhlmann P. Stability selection (with discussion). J R Stat Soc B 2010;72:417-73.
    • (2010) J R Stat Soc B , vol.72 , pp. 417-473
    • Meinshausen, M.1    Buhlmann, P.2
  • 35
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the LASSO
    • Tibshirani R. Regression shrinkage and selection via the LASSO. J R Stat Soc B 1996;58:267-88.
    • (1996) J R Stat Soc B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 36
    • 33846114377 scopus 로고    scopus 로고
    • The adaptive LASSO and its oracle property
    • Zou H. The adaptive LASSO and its oracle property. J Am Stat Assoc 2006;101:1418-29.
    • (2006) J Am Stat Assoc , vol.101 , pp. 1418-1429
    • Zou, H.1
  • 37
    • 1542784498 scopus 로고    scopus 로고
    • Variable selection via nonconcave penalized likelihood and its oracle properties
    • Fan J, Li R. Variable selection via nonconcave penalized likelihood and its oracle properties. J Am Stat Assoc 2001;96:1348-60.
    • (2001) J Am Stat Assoc , vol.96 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 38
    • 77649284492 scopus 로고    scopus 로고
    • Nearly unbiased variable selection under minimax concave penalty
    • Zhang C. Nearly unbiased variable selection under minimax concave penalty. Ann Statist 2010;38:894-942.
    • (2010) Ann Statist , vol.38 , pp. 894-942
    • Zhang, C.1
  • 39
    • 12844266177 scopus 로고    scopus 로고
    • Sparsity and smoothness via the fused lasso
    • Tibshirani R, Saunders M, Rosset S, et al. Sparsity and smoothness via the fused lasso. J R Stat Soc B 2005; 67:91-108.
    • (2005) J R Stat Soc B , vol.67 , pp. 91-108
    • Tibshirani, R.1    Saunders, M.2    Rosset, S.3
  • 40
    • 37249032736 scopus 로고    scopus 로고
    • Spatial smoothing and hot spot detection for CGH data using the fused lasso
    • Tibshirani R, Wang P. Spatial smoothing and hot spot detection for CGH data using the fused lasso. Biostatistics 2008;9:18-29.
    • (2008) Biostatistics , vol.9 , pp. 18-29
    • Tibshirani, R.1    Wang, P.2
  • 41
    • 84883715312 scopus 로고    scopus 로고
    • Interquantile shrinkage and variable selection in quantile regression
    • Jiang L, Bondell H, Wang H. Interquantile shrinkage and variable selection in quantile regression. Comp Stat Data Anal 2014;69:208-19.
    • (2014) Comp Stat Data Anal , vol.69 , pp. 208-219
    • Jiang, L.1    Bondell, H.2    Wang, H.3
  • 42
    • 0034712586 scopus 로고    scopus 로고
    • Conditional expression of a Gi-coupled receptor causes ventricular conduction delay and a lethal cardiomyopathy
    • Redfern C, Degtyarev M, Kwa A, et al. Conditional expression of a Gi-coupled receptor causes ventricular conduction delay and a lethal cardiomyopathy. Proc Natl Acad Sci USA 2000;97:4826-31.
    • (2000) Proc Natl Acad Sci USA , vol.97 , pp. 4826-4831
    • Redfern, C.1    Degtyarev, M.2    Kwa, A.3
  • 43
    • 0742321914 scopus 로고    scopus 로고
    • Regression approaches for microarray data analysis
    • Segal M, Kam D, Bruce C. Regression approaches for microarray data analysis. J Comput Biol 2003;10:961-80.
    • (2003) J Comput Biol , vol.10 , pp. 961-980
    • Segal, M.1    Kam, D.2    Bruce, C.3
  • 44
    • 79959524146 scopus 로고    scopus 로고
    • A haplotype map of the human genome
    • The International HapMap Consortium. A haplotype map of the human genome. Nature 2005;437:1299-320.
    • (2005) Nature , vol.437 , pp. 1299-1320
  • 45
    • 77956929713 scopus 로고    scopus 로고
    • A robust penalized method for the analysis of noisy DNA copy number data
    • Gao XL, Huang J. A robust penalized method for the analysis of noisy DNA copy number data. BMC Genomics 2010;11:517.
    • (2010) BMC Genomics , vol.11 , pp. 517
    • Gao, X.L.1    Huang, J.2
  • 47
    • 84876013845 scopus 로고    scopus 로고
    • Robust variable selection through MAVE
    • Yao W, Wang Q. Robust variable selection through MAVE. Comput Statist Data Anal 2013;63:42-9.
    • (2013) Comput Statist Data Anal , vol.63 , pp. 42-49
    • Yao, W.1    Wang, Q.2


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