References
- Bai , Z. D. , Saranadasa , H. ( 1996 ). Effect of high dimension: by an example of a two sample problem . Statist. Sinica 6 : 311 – 329 .
- Bickel , P. J. , Levina , E. ( 2004 ). Some theory for Fisher's linear discriminant function, “naive Bayes”, and some alternatives when there are many more variables than observations . Bernoulli 10 : 989 – 1010 .
- Bickel , P. J. , Li , B. ( 2006 ). Regularization in statistics (with discussion) . Test 15 : 271 – 344 .
- Chapman , J. , Whittaker , J. ( 2008 ). Analysis of multiple SNPs in a candidate gene or region . Genet. Epidemiol. 32 : 560 – 566 .
- Donoho , D. L. , Johnstone , I. M. ( 1994 ). Ideal spatial adaptation by wavelet shrinkage . Biometrika 81 : 425 – 455 .
- Dudoit , S. , Fridlyand , J. , Speed , T. P. ( 2002 ). Comparison of discriminant methods for the classification of tumors using gene expression data . J. Amer. Statist. Assoc. 97 : 77 – 87 .
- Fan , J. Q. ( 1996 ). Testing of significance based on wavelet thresholding and Neyman's truncation . J. Amer. Statist. Assoc. 91 : 674 – 688 .
- Fan , J. Q. , Fan , Y. Y. ( 2008 ). High-dimensional classification using features annealed independence rules . Ann. Statist. 36 : 2605 – 2637 .
- Fan , J. Q. , Li , R. Z. ( 2001 ). Variable selection via nonconcave penalized likelihood and its oracle properties . J. Amer. Statist. Assoc. 96 : 1348 – 1360 .
- Fan , J. Q. , Li , R. Z. ( 2006 ). Statistical challenges with high dimensionality: feature selection in knowledge discovery . In: Sanz-Sole , M. , Soria , J. , Varona , J. L. , Verdera , J. , eds. Proceeding of the International Congress of Mathematics . Vol. III , pp. 595 – 622 .
- Goeman , J. J. , van de Geer , S. A. , van Houwelingen , H. C. ( 2006 ). Testing against a high-dimensional alternative . J. Roy. Statist. Soc. Ser. B 68 : 477 – 493 .
- Goeman , J. J. , van de Geer , S. A. , Kort , F. D. , van Houwelingen , H. C. ( 2004 ). A global test for groups of genes: testing association with a clinical outcome . Bioinformatics 20 : 93 – 99 .
- Golub , T. R. , Slonim , D. K. , Tamayo , P. , Huard , C. , Gaasenbeek , M. , Mesirov , J. P. , Coller , H. , Loh , M. L. , Downing , J. R. , Caliqiuri , M. A. , Bloomfield , C. D. , Lander , E. S. ( 1999 ). Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring . Science 286 : 531 – 536 .
- Hastie , T. , Tibshirani , R. , Friedman , J. ( 2001 ). The Elements of Statistical Learning: Data Mining, Inference and Prediction . New York : Springer-Verlag .
- Hoerl , A. E. , Kennard , R. ( 1970 ). Ridge regression: biased estimation for nonorthogonal problems . Technometrics 12 : 55 – 67 .
- Kalbfleisch , J. D. , Prentice , R. L. ( 1980 ). The Statistical Analysis of Failure Time Data . New York : Wiley .
- Nam , D. , Kim , S. Y. ( 2008 ). Gene-set approach for expression pattern analysis . Brief. Bioinform. 9 : 189 – 197 .
- McCullagh , P. , Nelder , J. A. ( 1983 ). Generalized Linear Models . London : Chapman and Hall .
- Pan , W. ( 2009 ). Asymptotic tests of association with multiple SNPs in linkage disequilibrium . Genet. Epidemiol. 33 : 497 – 507 .
- Tibshirani , R. , Hastie , T. , Narasimhan , B. , Chu , G. ( 2002 ). Diagnosis of multiple cancer types by shrunken centroids of gene expression . Proc. Natl. Acad. Sci. USA 99 : 6567 – 6572 .
- Tusher , V. G. , Tibshirani , R. , Chu , G. ( 2001 ). Significance analysis of microarrays applied to the ionizing radiation response . Proc. Natl. Acad. Sci. USA 98 : 5116 – 5121 .
- Wu , B. L. ( 2005 ). Differential gene expression detection using penalized linear regression models: the improved SAM statistics . Bioinformatics 21 : 1565 – 1571 .
- Zou , H. ( 2006 ). The adaptive Lasso and its oracle properties . J. Amer. Statist. Assoc. 101 : 1418 – 1429 .