-
1
-
-
29244448340
-
Microarray data analysis: From disarray to consolidation and consensus
-
Allison, D.B. et al. (2006) Microarray data analysis: from disarray to consolidation and consensus. Nat. Rev. Genet., 7, 55-65.
-
(2006)
Nat. Rev. Genet.
, vol.7
, pp. 55-65
-
-
Allison, D.B.1
-
2
-
-
84875314833
-
Correcting the optimally selected resampling-based error rate: A smooth analytical alternative to nested cross-validation
-
University of Munich
-
Bernau, C. et al. (2011) Correcting the optimally selected resampling-based error rate: a smooth analytical alternative to nested cross-validation. In: Technical report. Department of Statistics, University of Munich.
-
(2011)
Technical Report. Department of Statistics
-
-
Bernau, C.1
-
3
-
-
84901196253
-
Correcting the optimal resampling-based error rate by estimating the error rate of wrapper algorithms
-
Bernau, C. et al. (2013) Correcting the optimal resampling-based error rate by estimating the error rate of wrapper algorithms. Biometrics, 69, 693-702.
-
(2013)
Biometrics
, vol.69
, pp. 693-702
-
-
Bernau, C.1
-
4
-
-
33646856024
-
Avoiding model selection bias in small-sample genomic datasets
-
Berrar, D. et al. (2006) Avoiding model selection bias in small-sample genomic datasets. Bioinformatics, 22, 1245-1250.
-
(2006)
Bioinformatics
, vol.22
, pp. 1245-1250
-
-
Berrar, D.1
-
5
-
-
76649101119
-
Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction
-
Boulesteix, A.-L. and Strobl, C. (2009) Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction. BMC Med. Res. Methodol., 9, 85.
-
(2009)
BMC Med. Res. Methodol.
, vol.9
, pp. 85
-
-
Boulesteix, A.-L.1
Strobl, C.2
-
6
-
-
84861527388
-
The genomic and transcriptomic architecture of 2, 000 breast tumours reveals novel subgroups
-
Curtis, C. et al. (2012) The genomic and transcriptomic architecture of 2, 000 breast tumours reveals novel subgroups. Nature, 486, 346-352.
-
(2012)
Nature
, vol.486
, pp. 346-352
-
-
Curtis, C.1
-
7
-
-
33846978784
-
Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting
-
Dupuy, A. and Simon, R.M. (2007) Critical review of published microarray studies for cancer outcome and guidelines on statistical analysis and reporting. J. Natl Cancer Inst., 99, 147-157.
-
(2007)
J. Natl Cancer Inst.
, vol.99
, pp. 147-157
-
-
Dupuy, A.1
Simon, R.M.2
-
8
-
-
70349761735
-
Empirical Bayes estimates for large-scale prediction problems
-
Efron, B. (2009) Empirical Bayes estimates for large-scale prediction problems. J. Am. Stat. Assoc., 104, 1015-1028.
-
(2009)
J. Am. Stat. Assoc.
, vol.104
, pp. 1015-1028
-
-
Efron, B.1
-
9
-
-
18744413287
-
Estimating misclassification error with small samples via bootstrap cross-validation
-
Fu, W.J. et al. (2005) Estimating misclassification error with small samples via bootstrap cross-validation. Bioinformatics, 21, 1979-1986.
-
(2005)
Bioinformatics
, vol.21
, pp. 1979-1986
-
-
Fu, W.J.1
-
10
-
-
0038237368
-
Estimating dataset size requirements for classifying DNA microarray data
-
Mukherjee, S. et al. (2003) Estimating dataset size requirements for classifying DNA microarray data. J. Comput. Biol., 10, 119-142.
-
(2003)
J. Comput. Biol.
, vol.10
, pp. 119-142
-
-
Mukherjee, S.1
-
11
-
-
60849119837
-
CMA: A comprehensive bioconductor package for supervised classification with high dimensional data
-
Slawski, M. et al. (2008) CMA: a comprehensive bioconductor package for supervised classification with high dimensional data. BMC Bioinformatics, 9, 439.
-
(2008)
BMC Bioinformatics
, vol.9
, pp. 439
-
-
Slawski, M.1
-
12
-
-
77957226516
-
A bias correction for the minimum error rate in cross-validation
-
Tibshirani, R.J. and Tibshirani, R. (2009) A bias correction for the minimum error rate in cross-validation. Ann. Appl. Stat., 3, 822-829.
-
(2009)
Ann. Appl. Stat.
, vol.3
, pp. 822-829
-
-
Tibshirani, R.J.1
Tibshirani, R.2
-
13
-
-
33644860703
-
Bias in error estimation when using cross-validation for model selection
-
Varma, S. and Simon, R. (2006) Bias in error estimation when using cross-validation for model selection. BMC Bioinformatics, 7, 91.
-
(2006)
BMC Bioinformatics
, vol.7
, pp. 91
-
-
Varma, S.1
Simon, R.2
-
14
-
-
34447331698
-
Classification based upon gene expression data: Bias and precision of error rates
-
Wood, I.A. et al. (2007) Classification based upon gene expression data: bias and precision of error rates. Bioinformatics, 23, 1363-1370.
-
(2007)
Bioinformatics
, vol.23
, pp. 1363-1370
-
-
Wood, I.A.1
-
15
-
-
75249095400
-
Reporting bias when using real data sets to analyze classification performance
-
Yousefi, M.R. et al. (2010) Reporting bias when using real data sets to analyze classification performance. Bioinformatics, 26, 68-76.
-
(2010)
Bioinformatics
, vol.26
, pp. 68-76
-
-
Yousefi, M.R.1
|