| Year |
Citation |
Score |
| 2016 |
George EO, Cheon K, Yuan Y, Szabo A. On exchangeable multinomial distributions. Biometrika. 103: 397-408. PMID 27279665 DOI: 10.1093/Biomet/Asw009 |
0.533 |
|
| 2013 |
Kocak M, George EO, Pyne S, Pounds S. An empirical Bayes approach for analysis of diverse periodic trends in time-course gene expression data. Bioinformatics (Oxford, England). 29: 182-8. PMID 23172863 DOI: 10.1093/bioinformatics/bts672 |
0.32 |
|
| 2012 |
Xu L, Cheng C, George EO, Homayouni R. Literature aided determination of data quality and statistical significance threshold for gene expression studies. Bmc Genomics. 13: S23. PMID 23282414 DOI: 10.1186/1471-2164-13-S8-S23 |
0.543 |
|
| 2011 |
Xu L, Furlotte N, Lin Y, Heinrich K, Berry MW, George EO, Homayouni R. Functional cohesion of gene sets determined by latent semantic indexing of PubMed abstracts. Plos One. 6: e18851. PMID 21533142 DOI: 10.1371/Journal.Pone.0018851 |
0.52 |
|
| 2010 |
Szabo A, George EO. On the use of stochastic ordering to test for trend with clustered binary data Biometrika. 97: 95-108. DOI: 10.1093/Biomet/Asp077 |
0.385 |
|
| 2009 |
Tran QT, Xu L, Phan V, Goodwin SB, Rahman M, Jin VX, Sutter CH, Roebuck BD, Kensler TW, George EO, Sutter TR. Chemical genomics of cancer chemopreventive dithiolethiones. Carcinogenesis. 30: 480-6. PMID 19126641 DOI: 10.1093/Carcin/Bgn292 |
0.48 |
|
| 2009 |
Xu L, Homayouni R, Furlotte NA, Heinrich KE, George EO, Berry MW. Gene-set Cohesion Analysis Tool (GCAT): A literature based web tool for calculating functional cohesiveness of gene groups Proceedings - 2009 Ieee International Conference On Bioinformatics and Biomedicine Workshops, Bibmw 2009. 349. DOI: 10.1109/BIBMW.2009.5332068 |
0.305 |
|
| 2008 |
Islam A, Iftekharuddin KM, George EO. Class specific gene expression estimation and classification in microarray data Proceedings of the International Joint Conference On Neural Networks. 1678-1685. DOI: 10.1109/IJCNN.2008.4634023 |
0.373 |
|
| 2007 |
Shaik J, George EO, Yeasin M. An empirical CDF approach to estimate the significance of gene ranking for finding differentially expressed genes Proceedings of the 7th Ieee International Conference On Bioinformatics and Bioengineering, Bibe. 1071-1075. DOI: 10.1109/BIBE.2007.4375691 |
0.408 |
|
| 2007 |
George EO, Armstrong D, Catalano PJ, Kumar Srivastava D. Regression models for analyzing clustered binary and continuous outcomes under an assumption of exchangeability Journal of Statistical Planning and Inference. 137: 3462-3474. DOI: 10.1016/J.Jspi.2007.03.024 |
0.365 |
|
| 2002 |
Sutter TR, He XR, Dimitrov P, Xu L, Narasimhan G, George EO, Sutter CH, Grubbs C, Savory R, Stephan-Gueldner M, Kreder D, Taylor MJ, Lubet R, Patterson TA, Kensler TW. Multiple comparisons model-based clustering and ternary pattern tree numerical display of gene response to treatment: procedure and application to the preclinical evaluation of chemopreventive agents. Molecular Cancer Therapeutics. 1: 1283-92. PMID 12516961 |
0.527 |
|
| 1997 |
George EO, Wu H. Testing for treatment related trend with partially exchangeable clustered data. Biometrics. 53: 479-87. PMID 9192447 DOI: 10.2307/2533951 |
0.34 |
|
| 1996 |
George EO, Kodell RL. Tests of independence, treatment heterogeneity, and dose-related trend with exchangeable binary data Journal of the American Statistical Association. 91: 1602-1610. |
0.397 |
|
| 1995 |
George EO, Bowman D. A full likelihood procedure for analysing exchangeable binary data. Biometrics. 51: 512-23. PMID 7662840 DOI: 10.2307/2532939 |
0.539 |
|
| 1995 |
Bowman D, George EO. A saturated model for analyzing exchangeable binary data: Applications to clinical and developmental toxicity studies Journal of the American Statistical Association. 90: 871-879. DOI: 10.1080/01621459.1995.10476586 |
0.55 |
|
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