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Issa Zakeri, PhD

Issa Zakeri

Professor of Biostatistics
Epidemiology and Biostatistics
267.359.6220
issa.f.zakeri@drexel.edu
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Degrees

PhD, Statistics, University of Illinois at Urbana-Champaign
MS, Mathematics, University of Illinois at Urbana-Champaign
BS, Mathematics, University of Tehran

Bio

Issa Zakeri's research interests include biostatistics, functional data analysis, multivariate analysis and statistical learning. His methodological research has been driven by and remains closely aligned with his applied interests in the behavioral, biological, and medical sciences. He has focused on obesity prevention and energy expenditure and has carried out research in biological, clinical, and community settings. His current research focuses on the emerging field of single-cell genomics — the study of the genome at the level of individual cells, which enables researchers to analyze genetic diversity, expression patterns, and cellular heterogeneity within complex tissues in both health and disease contexts.

Research Interests

  • Biostatistics
  • Functional Data Analysis
  • Multivariate Analysis
  • Statistical Learning

Publications

Saishi Cui, Sina Nassiri, and Issa Zakeri. Mcadet: a feature selection method for single-cell RNA-seq data based on multiple correspondence analysis and community detection, PLoS Comput Biol. 2024 Oct Oct 28;20(10). http://doi:0.1371/journal.pcbi.1012560

Saishi Cui, Sina Nassiri, and Issa Zakeri: The imbalance and composition correction ensemble learning framework for automated scRNA-seq cell type annotation. https://www.bioRxiv.org/content/10.1101/2024.04.21.590442v1

Mastrianni A, Sarcevic A, Chung LS, Zakeri I, Alberto EC, Milestone ZP, Burd RS, Marsic I. Designing Interactive Alerts to Improve Recognition of Critical Events in Medical Emergencies. DIS (Des Interact Syst Conf). 2021 Jun;2021:864-878. doi: 10.1145/3461778.3462051. Epub 2021 Jun 28. PMID: 35330919; PMCID: PMC8941664.

Butte NF, Puyau MR, Wilson TA, Liu Y, Wong WW, Adolph AL, Zakeri IF. Role of physical activity and sleep duration in growth and body composition of preschool-aged children. Obesity (Silver Spring). 2016 Jun;24(6):1328-35. doi: 10.1002/oby.21489. Epub 2016 Apr 18. PMID: 27087679; PMCID: PMC4882246.

Lee JS, Zakeri IF, Butte NF. Functional data analysis of sleeping energy expenditure. PLoS One. 2017 May 10;12(5):e0177286. doi: 10.1371/journal.pone.0177286. PMID: 28489875; PMCID: PMC5425044.

De Roos AJ, Gurian PL, Robinson LF, Rai A, Zakeri I, Kondo MC. Review of Epidemiological Studies of Drinking-Water Turbidity in Relation to Acute Gastrointestinal Illness. Environ Health Perspect. 2017 Aug 17;125(8):086003. doi: 10.1289/EHP1090. PMID: 28886603; PMCID: PMC5882241.

Butte NF, Liu Y, Zakeri IF, Mohney PR, Mehta N, Vourganti VS, Goring H,  and Comuzzie AG. Global metabolomic profiling targeting childhood obesity in the Hispanic population. (2015) American Journal of Clinical Nutrition 102(2):256-67.

Butte NF, Wong WW, Lee JS, Adolph AL, Puyau MR, and Zakeri IF. (2014) Prediction of Energy Expenditure and Physical Activity in Preschoolers. Medicine and Science in Sports and Exercise 46(6):1216-26.

Yang Y, Adolph A, Puyau M, Vohra F, Butte N, and Zakeri I. (2013). Modeling Energy Expenditure in Children and Adolescents using Quantile Regression. Journal of Applied Physiology 115(2):251-9.

Zakeri I, Adolph A, Puyau MR, Vohra FA, Butte N. (2013) Cross-sectional Time Series and Multivariate Adaptive Regression Splines Models Using Accelerometers and Heart Rate Predict Energy Expenditure of Preschoolers. The Journal of Nutrition 143(1): 114-122

Barati Z, Zakeri I, Pourrezaei K.  (2013) Functional Data Analysis View of Functional Near Infrared Spectroscopy Data. Journal of Biomedical Optics 18(11): 117007-1-13

Zakeri I, Adolph A, Puyau MR, Vohra FA, Butte N. Multivariate Adaptive Regression Splines (MARS) Models for the Prediction of Energy Expenditure in Children and Adolescents. (2010). Journal of Applied Physiology 108(1): 128-136.

View Dr. Zakeri's complete list of publications on PubMed

Courses

BST 551, 751 Statistical Inference I

BST 651, 851 Statistical Inference II

BST 570, 870 Generalized Linear Models

BST 558 Applied Multivariate Analysis

BST 568 Non-and Semi-Parametric Models

BST T680 Time Series Analysis

BST T580, T885 Probability for Biostatistics

BST 825 Probability Models and Stochastic Processes

BST T880 Readings in Biostatistics

BST 823 Theory of Linear, Generalized Linear, and Mixed Models