Zhou, Lan individual record
Associate Professor
Positions:
overview

My research focuses on statistical methodology and application in bioinformatics, nutrition, biostatistics and epidemiology, and functional/longitudinal data analysis.

education and training
selected publications
Academic Articles39
  • Mukherjee, R., Beykal, B., Szafran, A. T., Onel, M., Stossi, F., Mancini, M. G., ... Pistikopoulos, E. N. (2020). Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms. PLoS Comput Biol. 16(9), e1008191-e1008191.
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  • Onel, M., Beykal, B., Ferguson, K., Chiu, W. A., McDonald, T. J., Zhou, L., ... Pistikopoulos, E. N. (2019). Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization. PLoS ONE. 14(10), e0223517-e0223517.
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  • Najibi, S. M., Maadooliat, M., Zhou, L., Huang, J. Z., & Gao, X. (2017). Protein Structure Classification and Loop Modeling Using Multiple Ramachandran Distributions*. Computational and Structural Biotechnology Journal. 15, 243-254.
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  • Huang, J. Z., Wang, X., Wu, X., & Zhou, L. (2016). Estimation of a probability density function using interval aggregated data. Journal of Statistical Computation and Simulation. 86(15), 1-13.
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  • Sang, W., Speakmon, M., Zhou, L., Wang, Y. u., Lei, C., Pillai, S. D., & Zhu-Salzman, K. (2016). Detrimental effects of electron beam irradiation on the cowpea bruchid Callosobruchus maculatus.. Pest Manag Sci. 72(4), 787-795.
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Chapters2
  • Mukherjee, R., Onel, M., Beykal, B., Szafran, A. T., Stossi, F., Mancini, M. A., ... Pistikopoulos, E. N. (2019). Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis. 20TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING. 29th European Symposium on Computer Aided Process Engineering. 967-972. Elsevier.
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  • Onel, M., Beykal, B., Wang, M., Grimm, F. A., Zhou, L., Wright, F. A., ... Pistikopoulos, E. N. (2018). Optimal Chemical Grouping and Sorbent Material Design by Data Analysis, Modeling and Dimensionality Reduction Techniques. 20TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING. 28th European Symposium on Computer Aided Process Engineering. 421-426. Elsevier.
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Conference Papers3
  • Assaad, H., Yao, K., Bazer, F. W., Zhou, L., Carroll, R. J., Meininger, C. J., & Wu, G. (2013). Analysis of energy expenditure in diet-induced obese rats with abnormal metabolism of amino acids. AMINO ACIDS. 45(3), 597-597.
  • Martinez, J. G., Liang, F., Zhou, L., & Carroll, R. J. (2010). Longitudinal functional principal component modelling via Stochastic Approximation Monte Carlo. Canadian Journal of Statistics. 38(2), 256-270.
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  • Huang, J. Z., Wu, C. O., & Zhou, L. (2004). Polynomial spline estimation and inference for varying coefficient models with longitudinal data. Statistica Sinica. 14(3), 763-788.
chaired theses and dissertations
Email
lzhou@tamu.edu
First Name
Lan
Last Name
Zhou
mailing address
Texas A&M University; Department Of Statistics; 3143 TAMU
College Station, TX 77843-3143
USA