-
1
-
-
84857540547
-
A three-gene model to robustly identify breast cancer molecular subtypes
-
Haibe-Kains B, Desmedt C, Loi S, et al. A three-gene model to robustly identify breast cancer molecular subtypes. J Natl Cancer Inst. 2012; 104 (4): 311-325.
-
(2012)
J Natl Cancer Inst
, vol.104
, Issue.4
, pp. 311-325
-
-
Haibe-Kains, B.1
Desmedt, C.2
Loi, S.3
-
3
-
-
77956492136
-
Simple and flexible classification via Swirls-and-Ripples
-
Baker SG. Simple and flexible classification via Swirls-and-Ripples. BMC Bioinformatics. 2010; 11: 452.
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 452
-
-
Baker, S.G.1
-
4
-
-
80053533738
-
Microarray-based cancer prediction using single genes
-
Wang X, Simon R. Microarray-based cancer prediction using single genes. BMC Bioinformatics. 2011; 12: 391.
-
(2011)
BMC Bioinformatics
, vol.12
, pp. 391
-
-
Wang, X.1
Simon, R.2
-
6
-
-
79954623572
-
The tissue organization field theory of cancer: A testable replacement for the somatic mutation theory
-
Soto AM, Sonnenschein C. The tissue organization field theory of cancer: a testable replacement for the somatic mutation theory. Bioessays. 2011; 33 (5): 332-340.
-
(2011)
Bioessays
, vol.33
, Issue.5
, pp. 332-340
-
-
Soto, A.M.1
Sonnenschein, C.2
-
7
-
-
33745886270
-
Classifier technology and the illusion of progress
-
DOI 10.1214/088342306000000060
-
Hand DJ. Classifier technology and the illusion of progress. Statist Sci. 2006; 21 (1): 1-14. (Pubitemid 44046906)
-
(2006)
Statistical Science
, vol.21
, Issue.1
, pp. 1-14
-
-
Hand, D.J.1
-
8
-
-
33947645465
-
Gene expression profiling: Does it add predictive accuracy to clinical characteristics in cancer prognosis?
-
DOI 10.1016/j.ejca.2006.11.018, PII S0959804906010616
-
Dunkler D, Michiels S, Schemper M. Gene expression profiling. Does it add predictive accuracy to clinical characteristics in cancer progression? Eur J Cancer. 2007; 43 (4): 745-751. (Pubitemid 46502906)
-
(2007)
European Journal of Cancer
, vol.43
, Issue.4
, pp. 745-751
-
-
Dunkler, D.1
Michiels, S.2
Schemper, M.3
-
9
-
-
79952392467
-
Why don't we get more cancer? A proposed role of the microenvironment in restraining cancer progression
-
Bissell MJ, Hines WC. Why don't we get more cancer? A proposed role of the microenvironment in restraining cancer progression. Nat Med. 2011; 17 (3): 320-329.
-
(2011)
Nat Med
, vol.17
, Issue.3
, pp. 320-329
-
-
Bissell, M.J.1
Hines, W.C.2
-
10
-
-
81355148564
-
TOFT better explains experimental results in cancer research than SMT
-
Baker SG. TOFT better explains experimental results in cancer research than SMT. Bioessays. 2011; 33 (12): 919-921.
-
(2011)
Bioessays
, vol.33
, Issue.12
, pp. 919-921
-
-
Baker, S.G.1
-
11
-
-
33751312857
-
Gene expression signatures of morphologically normal breast tissue identify basal-like tumors
-
Finak G, Sadakova S, Pepin F, et al. Gene expression signatures of morphologically normal breast tissue identify basal-like tumors. Breast Cancer Res. 2006; 8: R58.
-
(2006)
Breast Cancer Res
, vol.8
-
-
Finak, G.1
Sadakova, S.2
Pepin, F.3
-
12
-
-
19344363035
-
Gene expression signature of fibroblast serum response predicts human cancer progression: Similarities between tumors and wounds
-
Chang HY, Sneddon JB, Alizadeh AA. Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds. PLoS Biol. 2004; 4 (2): 206-214.
-
(2004)
PLoS Biol
, vol.4
, Issue.2
, pp. 206-214
-
-
Chang, H.Y.1
Sneddon, J.B.2
Alizadeh, A.A.3
-
13
-
-
33750905259
-
Decision curve analysis: A novel method for evaluating prediction models
-
DOI 10.1177/0272989X06295361
-
Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making. 2006; 26 (6): 565-574. (Pubitemid 44728772)
-
(2006)
Medical Decision Making
, vol.26
, Issue.6
, pp. 565-574
-
-
Vickers, A.J.1
Elkin, E.B.2
-
14
-
-
72949090243
-
Putting risk prediction in perspective: Relative utility curves
-
Baker SG. Putting risk prediction in perspective: relative utility curves. J Natl Cancer Inst. 2009; 101 (22): 1538-1542.
-
(2009)
J Natl Cancer Inst
, vol.101
, Issue.22
, pp. 1538-1542
-
-
Baker, S.G.1
-
15
-
-
76349100026
-
Randomized clinical trials with biomarkers: Design issues
-
Freidlin B, McShane LM, Korn EL. Randomized clinical trials with biomarkers: design issues. J Natl Cancer Inst. 2010; 102 (3): 152-160.
-
(2010)
J Natl Cancer Inst
, vol.102
, Issue.3
, pp. 152-160
-
-
Freidlin, B.1
McShane, L.M.2
Korn, E.L.3
-
16
-
-
27744537954
-
Adaptive signature design: An adaptive clinical trial design for generating and prospectively testing a gene expression signature for sensitive patients
-
DOI 10.1158/1078-0432.CCR-05-0605
-
Freidlin B, Simon R. Adaptive signature design: an adaptive clinical trial design for generating and prospectively testing a gene expression signature for sensitive patients. Clin Cancer Res. 2005; 11 (21): 7872-7878. (Pubitemid 41611633)
-
(2005)
Clinical Cancer Research
, vol.11
, Issue.21
, pp. 7872-7878
-
-
Freidlin, B.1
Simon, R.2
-
17
-
-
34447646946
-
Method for evaluating prediction models that apply the results of randomized trials to individual patients
-
Vickers AJ, Kattan MW, Sargent DJ. Method for evaluating prediction models that apply the results of randomized trials to individual patients. Trials. 2007; 9: 14.
-
(2007)
Trials
, vol.9
, pp. 14
-
-
Vickers, A.J.1
Kattan, M.W.2
Sargent, D.J.3
-
18
-
-
79953133534
-
Analysis of randomized comparative clinical trial data for personalized treatment selections
-
Cai T, Tian L, Wong PH, Wei LJ. Analysis of randomized comparative clinical trial data for personalized treatment selections. Biostatistics. 2011; 12 (2): 270-282.
-
(2011)
Biostatistics
, vol.12
, Issue.2
, pp. 270-282
-
-
Cai, T.1
Tian, L.2
Wong, P.H.3
Wei, L.J.4
-
19
-
-
0034668136
-
A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data
-
Bonetti M, Gelber RD. A graphical method to assess treatment-covariate interactions using the Cox model on subsets of the data. Stat Med. 2000; 19 (19): 2595-2609.
-
(2000)
Stat Med
, vol.19
, Issue.19
, pp. 2595-2609
-
-
Bonetti, M.1
Gelber, R.D.2
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