-
1
-
-
0031463463
-
Regression models for ordinal responses: a review of methods and applications
-
Ananth C.V., Kleinbaum D.G. Regression models for ordinal responses: a review of methods and applications. International Journal of Epidemiology 1997, 26(6):1323-1333.
-
(1997)
International Journal of Epidemiology
, vol.26
, Issue.6
, pp. 1323-1333
-
-
Ananth, C.V.1
Kleinbaum, D.G.2
-
2
-
-
84862002828
-
L(1) penalized continuation ratio models for ordinal response prediction using high-dimensional datasets
-
Archer K.J., Williams A.A. L(1) penalized continuation ratio models for ordinal response prediction using high-dimensional datasets. Statistics in Medicine 2012, 31(14):1464-1474.
-
(2012)
Statistics in Medicine
, vol.31
, Issue.14
, pp. 1464-1474
-
-
Archer, K.J.1
Williams, A.A.2
-
5
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
Dudoit S., Fridlyand J., Speed T.P. Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association 2002, 97(457):77-87.
-
(2002)
Journal of the American Statistical Association
, vol.97
, Issue.457
, pp. 77-87
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
-
6
-
-
0037224449
-
Identifying distinct classes of bladder carcinoma using microarrays
-
Dyrskjot L., et al. Identifying distinct classes of bladder carcinoma using microarrays. Nature Genetics 2003, 33(1):90-96.
-
(2003)
Nature Genetics
, vol.33
, Issue.1
, pp. 90-96
-
-
Dyrskjot, L.1
-
7
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
Golub T.R., et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999, 286(5439):531-537.
-
(1999)
Science
, vol.286
, Issue.5439
, pp. 531-537
-
-
Golub, T.R.1
-
8
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon I., et al. Gene selection for cancer classification using support vector machines. Machine Learning 2002, 46:389-422.
-
(2002)
Machine Learning
, vol.46
, pp. 389-422
-
-
Guyon, I.1
-
9
-
-
0003684449
-
-
Springer-Verlag, New York
-
Hastie T., Tibshirani R., Friedman J. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics 2011, Springer-Verlag, New York.
-
(2011)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
11
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
Khan J., et al. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Medicine 2001, 7:673-679.
-
(2001)
Nature Medicine
, vol.7
, pp. 673-679
-
-
Khan, J.1
-
12
-
-
77956235993
-
Prediction of stage, grade, and survival in bladder cancer using genome-wide expression data: a validation study
-
Lauss M., Ringner M., Hoglund M. Prediction of stage, grade, and survival in bladder cancer using genome-wide expression data: a validation study. Clinical Cancer Research 2010, 16(17):4421-4433.
-
(2010)
Clinical Cancer Research
, vol.16
, Issue.17
, pp. 4421-4433
-
-
Lauss, M.1
Ringner, M.2
Hoglund, M.3
-
15
-
-
84877095236
-
-
R Development Core Team, R: A Language and Environment for Statistical Computing, Software available at.
-
R Development Core Team, R: A Language and Environment for Statistical Computing, Software available at http://www.r.project.org/.
-
-
-
-
17
-
-
0347243182
-
Nonlinear component analysis as a kernel eigenvalue problem
-
Scholkopf B., Smola A.J., Muller R.M. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation 1998, 10(5):1299-1319.
-
(1998)
Neural Computation
, vol.10
, Issue.5
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.J.2
Muller, R.M.3
-
19
-
-
84860478431
-
A critical evaluation of network and pathway-based classifiers for outcome prediction in breast cancer
-
Staiger C., et al. A critical evaluation of network and pathway-based classifiers for outcome prediction in breast cancer. PLoS One 2012, 7(4):e34796.
-
(2012)
PLoS One
, vol.7
, Issue.4
-
-
Staiger, C.1
-
20
-
-
3142683871
-
Gene expression-based, individualized outcome prediction for surgically treated lung cancer patients
-
Tomida S., et al. Gene expression-based, individualized outcome prediction for surgically treated lung cancer patients. Oncogene 2004, 23(July (31)):5360-5370.
-
(2004)
Oncogene
, vol.23
, Issue.J0 31
, pp. 5360-5370
-
-
Tomida, S.1
-
23
-
-
0344198131
-
Expression genomics of cervical cancer: molecular classification and prediction of radiotherapy response by DNA microarray
-
Wong Y.F., et al. Expression genomics of cervical cancer: molecular classification and prediction of radiotherapy response by DNA microarray. Clinical Cancer Research 2003, 9(15):5486-5492.
-
(2003)
Clinical Cancer Research
, vol.9
, Issue.15
, pp. 5486-5492
-
-
Wong, Y.F.1
-
25
-
-
34047171574
-
Mouse model of human ovarian endometrioid adenocarcinoma based on somatic defects in the Wnt/beta-catenin and PI3K/Pten signaling pathways
-
Wu R., et al. Mouse model of human ovarian endometrioid adenocarcinoma based on somatic defects in the Wnt/beta-catenin and PI3K/Pten signaling pathways. Cancer Cell 2007, 11(4):321-333.
-
(2007)
Cancer Cell
, vol.11
, Issue.4
, pp. 321-333
-
-
Wu, R.1
-
26
-
-
34249855141
-
MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data
-
Zhou X., Tuck D.P. MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data. Bioinformatics 2007, 23(9):1106-1114.
-
(2007)
Bioinformatics
, vol.23
, Issue.9
, pp. 1106-1114
-
-
Zhou, X.1
Tuck, D.P.2
-
27
-
-
15944363312
-
Classification of gene microarrays by penalized logistic regression
-
Zhu J., Hastie T. Classification of gene microarrays by penalized logistic regression. Biostatistics 2004, 5(3):427-443.
-
(2004)
Biostatistics
, vol.5
, Issue.3
, pp. 427-443
-
-
Zhu, J.1
Hastie, T.2
|