| Year |
Citation |
Score |
| 2024 |
Liu Z, Turkmen AS, Lin S. Bayesian LASSO for population stratification correction in rare haplotype association studies. Statistical Applications in Genetics and Molecular Biology. 23. PMID 38235525 DOI: 10.1515/sagmb-2022-0034 |
0.395 |
|
| 2023 |
Liu Z, Turkmen AS, Lin S. Population stratification correction using Bayesian shrinkage priors for genetic association studies. Annals of Human Genetics. 87: 302-315. PMID 37771252 DOI: 10.1111/ahg.12527 |
0.304 |
|
| 2020 |
Turkmen AS, Lin S. Detecting X-linked common and rare variant effects in family-based sequencing studies. Genetic Epidemiology. PMID 32864779 DOI: 10.1002/Gepi.22352 |
0.415 |
|
| 2019 |
Turkmen AS, Yuan Y, Billor N. Evaluation of methods for adjusting population stratification in genome-wide association studies: Standard versus categorical principal component analysis. Annals of Human Genetics. PMID 31322288 DOI: 10.1111/Ahg.12339 |
0.639 |
|
| 2017 |
Turkmen A, Lin S. Are rare variants really independent? Genetic Epidemiology. PMID 28300291 DOI: 10.1002/Gepi.22039 |
0.386 |
|
| 2016 |
Ozturk O, Turkmen A. Quantile inference based on clustered data Metrika. 1-27. DOI: 10.1007/S00184-016-0581-0 |
0.405 |
|
| 2015 |
Turkmen AS, Yan Z, Hu YQ, Lin S. Kullback-Leibler distance methods for detecting disease association with rare variants from sequencing data. Annals of Human Genetics. 79: 199-208. PMID 25875492 DOI: 10.1111/Ahg.12103 |
0.455 |
|
| 2014 |
Turkmen AS, Lin S. Identifying rare variant associations in population-based and family-based designs. Bmc Proceedings. 8: S58. PMID 25519393 DOI: 10.1186/1753-6561-8-S1-S58 |
0.448 |
|
| 2014 |
Satten GA, Biswas S, Papachristou C, Turkmen A, König IR. Population-based association and gene by environment interactions in Genetic Analysis Workshop 18. Genetic Epidemiology. 38: S49-56. PMID 25112188 DOI: 10.1002/Gepi.21825 |
0.43 |
|
| 2014 |
Turkmen AS, Lin S. Blocking approach for identification of rare variants in family-based association studies. Plos One. 9: e86126. PMID 24465912 DOI: 10.1371/Journal.Pone.0086126 |
0.452 |
|
| 2014 |
Turkmen A, Ozturk O. Rank-based ridge estimation in multiple linear regression Journal of Nonparametric Statistics. 26: 737-754. DOI: 10.1080/10485252.2014.964714 |
0.413 |
|
| 2014 |
Turkmen AS, Tabakan G. Outlier Resistant Estimation in Difference-Based Semiparametric Partially Linear Models Communications in Statistics - Simulation and Computation. 44: 417-432. DOI: 10.1080/03610918.2013.781627 |
0.412 |
|
| 2013 |
Turkmen AS, Billor N. Influence Function Analysis for the Robust Partial Least Squares (RoPLS) Estimator Communications in Statistics - Theory and Methods. 42: 2818-2836. DOI: 10.1080/03610926.2011.620213 |
0.628 |
|
| 2012 |
Turkmen A, Lin S. An optimum projection and noise reduction approach for detecting rare and common variants associated with complex diseases. Human Heredity. 74: 51-60. PMID 23154579 DOI: 10.1159/000343797 |
0.346 |
|
| 2012 |
Turkmen A, Billor N. Partial least squares classification for high dimensional data using the PCOUT algorithm Computational Statistics. 28: 771-788. DOI: 10.1007/S00180-012-0328-Y |
0.641 |
|
| 2011 |
Turkmen AS, Lin S. Gene-based partial least-squares approaches for detecting rare variant associations with complex traits. Bmc Proceedings. 5: S19. PMID 22373126 DOI: 10.1186/1753-6561-5-S9-S19 |
0.385 |
|
| 2008 |
Pandey S, Billor N, Turkmen A. The Effect of Outliers in Independent Component Analysis American Journal of Mathematical and Management Sciences. 28: 399-418. DOI: 10.1080/01966324.2008.10737735 |
0.646 |
|
| 2008 |
Billor N, Abebe A, Turkmen A, Nudurupati SV. Classification based on depth transvariations Journal of Classification. 25: 249-260. DOI: 10.1007/S00357-008-9015-7 |
0.614 |
|
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