Wenan Chen

Education:

• Ph.D., Virginia Commonwealth University, Department of Computer Science, 2010
• M.S., Beijing University of Technology, College of Computer Science, 2006
• B.S., Beijing Information Technology Institute, Department of Computer Information System, 2003

Research interests:

• Genome-wide association studies (GWAS) in admixed populations, exploring population substructures from genetic data
• High dimensional data analysis such as data from genomics, methylomics

Publication:

Statistical Genetics

1. Wenan Chen, Xiangning Chen, Kellie J. Archer, Nianjun Liu, Zhongming Zhao,Shumei Sun, Guimin Gao. A Rapid Association Test Procedure Robust under Different Genetic Models Accounting for Population Stratification , Human Heredity, 2013, 75(1), pp. 13-33.
2. Wenan Chen, Guimin Gao, Srilaxmi Nerella, Christina M Hultman, Patrik KE Magnusson, Patrick F Sullivan, Karolina A Aberg and Edwin JCG van den Oord. MethylPCA: A toolkit to control for confounders in methylome-wide association studies , BMC Bioinformatics, 2013, 14:74 (highly accessed). Software Download: Linux64 MacOSX Win32
3. Shudong Wang*, Wenan Chen*, Xiangning Chen, Fengjiao Hu, Kellie J. Archer, Nianjun Liu, Shumei Sun and Guimin Gao. Double genomic control is not effective to correct for population stratification in Meta-analysis for genome-wide association studies. Frontiers in Genetics, 2012, 3:300. (*Co-first author).
4. Guimin Gao, Guolian Kang, Jiexun Wang, Wenan Chen, Huaizen Qin, Bo Jiang, Qizhai Li, Chuanyu Sun, Nianjun Liu, Kellie J Archer, David B Allison. A Generalized Sequential Bonferroni Procedure Using Smoothed Weights for Genome-Wide Association Studies Incorporating Information on Hardy-Weinberg Disequilibrium among Cases. Human heredity, 2011, 73(1), pp. 1-13.
5. Wenan Chen, Xi Gao, Jiexun Wang, Chuanyu Sun, Wen Wan, Degui Zhi, Nianjun Liu, Xiangning Chen, Guimin Gao. Evaluation of association tests for rare variants using simulated data sets in the Genetic Analysis Workshop 17 data. BMC proceedings, 2011, 5 Suppl 9: S86.

Machine Learning

1. Wenan Chen, Charles Cockrell, Kevin Ward, Kayvan Najarian. Predictability of Intracranial Pressure Level in Traumatic Brain Injury: Features Extraction, Statistical Analysis and Machine Learning based Evaluation. International Journal of Data Mining and Bioinformatics. 2013, 8(4), pp. 480-494.
2. Wenan Chen, Charles Cockrell, Kevin Ward, Kayvan Najarian. Intracranial pressure level prediction in traumatic brain injury by extracting features from multiple sources and using machine learning methods. IEEE International Conference on Bioinformatics & Biomedicine (BIBM 2010), pp. 510-515.
3. Bo Liu, Hongbin Zhang, Wenan Chen. Boundary Constrained Manifold Unfolding. International Conference on Machine Learning and Applications (ICMLA) 2008, pp.174-181.
4. Wenan Chen, Hongbin Zhang. The Condition of Kernelizing an Algorithm and an Equivalence between Kernel Methods. The 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), 2007, pp. 338-345.
5. Wenan Chen, Hongbin Zhang. Weighted Projection Approach for Small Sample Size Problems. The 11th Joint International Computer Conference (JICC2005), 2005.

Medical Image Analysis

1. Wenan Chen, Ashwin Belle, Charles Cockrell, Kevin Ward, Kayvan Najarian. Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images. The Journal of Visualized Experiments, 2013, 74, e3871.
2. Wenan Chen, Kayvan Najarian, Kevin Ward. Actual Midline Estimation from Brain CT Scan Using Multiple Regions Shape Matching. 20th International Conference on Pattern Recognition (ICPR) 2010, pp. 2552-2555.
3. Wenan Chen, Rebecca Smith, Nooshin Nabizadeh, Kevin Ward, Charles Cockrell, Jonathan Ha, Kayvan Najarian. Texture Analysis of Brain CT Scans for ICP Prediction. International Conference on Image and Signal Processing (ICISP) 2010, pp. 568-575.
4. Wenan Chen, Rebecca Smith, Simina Vasilache, Kayvan Najarian, Kevin Ward, Charles Cockrell, and Jonathan Ha. Traumatic Pelvic Injury Outcome Prediction by Extracting Features from Relevant Medical Records and X-ray Images. IEEE International Conference on Bioinformatics & Biomedicine (IEEE BIBM 2009), 2009, pp. 291-294.
5. Simina Vasilache, Wenan Chen, Kayvan Najarian, Kevin Ward. Hierarchical Object Recognition in Pelvic CT Images. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE Engineering in Medicine and Biology Society. 2009, pp. 3533-3536.
6. Wenan Chen, Rebecca Smith, Soo-Yeon Ji, Kevin R Ward and Kayvan Najarian. Automated Ventricular Systems Segmentation in Brain CT Images by Combining Low-level Segmentation and High-level Template Matching. BMC Medical Informatics and Decision Making, 2009, Volume 9, Suppl 1.
7. Soo-Yeon Ji, Wenan Chen, Kevin Ward, Caroline Rickards, Kathy Ryan, Victor Convertino, and Kayvan Najarian. Wavelet Based Analysis of Physiological Signals for Prediction of Severity of Hemorrhagic Shock. IEEE International Conference on Complex Medical Engineering (ICME2009), 2009, pp. 352-357.
8. Wenan Chen, Kayvan Najarian. Segmentation of Ventricles in Brain CT Images Using Gaussian Mixture Model Method. IEEE International Conference on Complex Medical Engineering (ICME2009), 2009, pp. 15-20.
9. Wenan Chen, Rebecca Smith, Soo-Yeon Ji, and Kayvan Najarian. Automated Segmentation of Lateral Ventricles in Brain CT images. IEEE International Conference on Bioinformatics and Biomeidcine Workshops, (BIBMW 2008) , 2008, pp. 48-55.

GPU and Agent Based Modeling

1. Wenan Chen, Kevin Ward, Qi Li, Vojislav Kecman, Kayvan Najarian, Nathan Menke. Agent based modeling of blood coagulation system: Implementation using a GPU based high speed framework. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE Engineering in Medicine and Biology Society. 2011, pp: 145-148.

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