A. Turkmen

发表

Robust Partial Least Squares for Regression and Classification

A. Turkmen, 2008 .

Evaluation of methods for adjusting population stratification in genome‐wide association studies: Standard versus categorical principal component analysis

Yuan Yuan, N. Billor, A. Turkmen, 2019, Annals of human genetics.

Emergence of Statistical Methodologies with the Rise of BIG Data

N. Billor, A. Turkmen, 2019, Women in Industrial and Systems Engineering.

Detecting X‐linked common and rare variant effects in family‐based sequencing studies

Shili Lin, A. Turkmen, 2020, Genetic epidemiology.

Quantile inference based on clustered data

A. Turkmen, O. Ozturk, 2016 .

Quantile inference based on clustered data

A. Turkmen, O. Ozturk, 2016, Metrika.

Partial least squares classification for high dimensional data using the PCOUT algorithm

N. Billor, A. Turkmen, 2012, Computational Statistics.

Generalised Rank Regression Estimator with Standard Error Adjusted Lasso

A. Turkmen, O. Ozturk, 2016 .

STATISTICAL MODELING AND ANALYSIS OF CHROMATIN INTERACTIONS

A. Turkmen, 2012 .

Blocking Approach for Identification of Rare Variants in Family-Based Association Studies

Asuman S. Turkmen, Shili Lin, A. Turkmen, 2014, PloS one.

Population‐Based Association and Gene by Environment Interactions in Genetic Analysis Workshop 18

Charalampos Papachristou, Glen A Satten, Inke R König, 2014, Genetic epidemiology.

An Optimum Projection and Noise Reduction Approach for Detecting Rare and Common Variants Associated with Complex Diseases

Asuman Turkmen, Shili Lin, A. Turkmen, 2012, Human Heredity.

The Relationship Between Burrow Abundance and Area as a Predictor of Gopher Tortoise Population Size

H. Balbach, C. Guyer, A. Turkmen, 2010 .

Bayestrat: Population Stratification Correction Using Bayesian Shrinkage Prior for Genetic Association Studies

Shili Lin, A. Turkmen, Zilu Liu, 2021, bioRxiv.

Kullback–Leibler Distance Methods for Detecting Disease Association with Rare Variants from Sequencing Data

Shili Lin, Yue-Qing Hu, Asuman S Turkmen, 2015, Annals of human genetics.

Rank-based ridge estimation in multiple linear regression

A. Turkmen, O. Ozturk, 2014 .

Are rare variants really independent?

Shili Lin, A. Turkmen, 2017, Genetic epidemiology.

Influence Function Analysis for the Robust Partial Least Squares (RoPLS) Estimator

N. Billor, A. Turkmen, 2013 .

The Effect of Outliers in Independent Component Analysis

Santosh Pandey, Nedret Billor, Asuman S. Turkmen, 2008 .

Classification Based on Depth Transvariations

Nedret Billor, Asheber Abebe, Sai V. Nudurupati, 2008, J. Classif..

Outlier Resistant Estimation in Difference-Based Semiparametric Partially Linear Models

Asuman Turkmen, Gulin Tabakan, A. Turkmen, 2015, Commun. Stat. Simul. Comput..

Population stratification correction using Bayesian shrinkage priors for genetic association studies

A. Turkmen, Zilu Liu, Shili Lin, 2023, Annals of Human Genetics.

Population‐Based Association and Gene by Environment Interactions in Genetic Analysis Workshop 18

I. König, G. Satten, S. Biswas, 2014, Genetic epidemiology.

Identifying rare variant associations in population-based and family-based designs

Asuman S Turkmen, Shili Lin, A. Turkmen, 2014, BMC Proceedings.

Bayesian LASSO for population stratification correction in rare haplotype association studies

A. Turkmen, Zilu Liu, Shili Lin, 2024, Statistical applications in genetics and molecular biology.