Decorrelation of the true and estimated classifier errors in high-dimensional settings

Eurasip Journal on Bioinformatics and Systems Biology

Volumn 2007, Issue , 2007, Pages

  Hanczar, Blaise ^a,b   Hua, Jianping ^c   Dougherty, Edward R ^a,c  

^a Texas AandM University   (United States)

^b UNIVERSITÉ PARIS 13   (France)

^c TRANSLATIONAL GENOMICS RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 37649015028     PISSN: 16874145     EISSN: 16874153     Source Type: Journal    
DOI: 10.1155/2007/38473     Document Type: Article

References (22)

1. A. Jain D. Zongker Feature selection: evaluation, application, and small sample performance. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 2 1997 153 158
2. G. Hughes On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory 14 1968 1 55 63
3. J. Hua Z. Xiong J. Lowey E. Suh E. R. Dougherty e-dougherty@ee.tamu.edu Optimal number of features as a function of sample size for various classification rules. Bioinformatics 21 8 2005 1509 1515
4. E. R. Dougherty Small sample issues for microarray-based classification. Comparative and Functional Genomics 2 1 2001 28 34
5. U. M. Braga-Neto E. R. Dougherty edward@ee.tamu.edu Is cross-validation valid for small-sample microarray classification? Bioinformatics 20 3 2004 374 380
6. A. M. Molinaro annette.molinaro@yale.edu R. Simon R. M. Pfeiffer Prediction error estimation: a comparison of resampling methods. Bioinformatics 21 15 2005 3301 3307
7. Y. Xiao fei@neo.tamu.edu J. Hua jhua@tgen.org E. R. Dougherty e-dougherty@tamu.edu Quantification of the impact of feature selection on the variance of cross-validation error estimation. EURASIP Journal on Bioinformatics and Systems Biology 16354 2007 2007 11 pages
8. U. Braga-Neto R. Hashimoto E. R. Dougherty edward@ee.tamu.edu D. V. Nguyen R. J. Carroll Is cross-validation better than resubstitution for ranking genes? Bioinformatics 20 2 2004 253 258
9. C. Sima U. Braga-Neto E. R. Dougherty Superior feature-set ranking for small samples using bolstered error estimation. Bioinformatics 21 2005 7 1046 1054
10. C. Sima S. Attoor U. Braga-Neto J. Lowey E. Suh E. R. Dougherty Impact of error estimation on feature-selection algorithms. Pattern Recognition 38 2005 12 2472 2482
11. X. Zhou K. Z. Mao ekzmao@ntu.edu.sg The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms. Bioinformatics 22 20 2006 2507 2515
12. C. Sima E. R. Dougherty edward@ece.tamu.edu What should be expected from feature selection in small-sample settings. Bioinformatics 22 19 2006 2430 2436
13. T. Mehta M. Tanik D. B. Allison dallison@uab.edu Towards sound epistemological foundations of statistical methods for high-dimensional biology. Nature Genetics 36 9 2004 943 947
14. E. R. Dougherty A. Datta C. Sima Research issues in genomic signal processing. IEEE Signal Processing Magazine 22 6 2005 46 68
15. S. Michiels S. Koscielny koscielny@igr.fr C. Hill Prediction of cancer outcome with microarrays: a multiple random validation strategy. The Lancet 365 9458 2005 488 492
16. E. R. Dougherty edward@ee.tamu.edu U. Braga-Neto ulisses_braga@cpqam. fiocruz.br Epistemology of computational biology: mathematical models and experimental prediction as the basis of their validity. Journal of Biological Systems 14 1 2006 65 90
17. U. Braga-Neto Fads and fallacies in the name of small-sample microarray classification - a highlight of misunderstanding and erroneous usage in the applications of genomic signal processing. IEEE Signal Processing Magazine 24 2007 1 91 99
18. A. Dupuy R. M. Simon Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. Journal of the National Cancer Institute 99 2 2007 147 157
19. E. R. Dougherty edward@ece.tamu.edu J. Hua M. L. Bittner Validation of computational methods in genomics. Current Genomics 8 1 2007 1 19
20. M. J. van de Vijver Y. D. He L. J. van 't Veer A gene-expression signature as a predictor of survival in breast cancer. New England Journal of Medicine 347 25 2002 1999 2009
21. A. Bhattacharjee W. G. Richards J. Staunton Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses. Proceedings of the National Academy of Sciences of the United States of America 98 24 2001 13790 13795
22. L. Devroye L. Gyorfi G. Lugosi A Probabilistic Theory of Pattern Recognition. Springer New York, NY, USA 1996