Amei Amei
Research Interests

                                                                                                                                                                        

 

 Research Interests:

                  Statistical Inference of Stochastic Processes, Mathematical Biology, Statistical Genetics, Probability Theory, Diffusion Theory, MCMC Method

 

Publications:

  1. S. Wang, Y. Luo, C. Chiu, G. Xu, A. Amei, J. Zhang, Z. Wang, H. Fang, A. Wilson, J. Bailey-Wilson, R. Fan, Bivariate stochastic functional linear models for gene-based association analysis of quantitative traits in longitudinal studies, submitted.
  2. J. Aquino, D. Witoslawski, S. Park, J. Holder, A. Amei, M. Han, A novel splicing graph allows a direct comparison between exon-based and splice junction-based approaches to alternative splicing detection, (2025), Briefings in Bioinformatics, Vol. 26, Issue 3, bbaf204.
  3. L. Shen, A. Amei, B. Liu, G. Xu, Y. Liu, E. Oh, X. Zhou, Z. Wang, Marginal interaction test for detecting interactions between genetic marker sets and environment in genome-wide studies, (2025), G3: Genes, Genomes, Genetics, 15(1), jkae263.
  4. B. Zhang, S. Wang, Y. Luo, C. Chiu, G. Xu, J. Ding, A. Amei, Z. Wang, A. Wilson, J. Bailey-Wilson, M. Xiong, R. Fan, Stochastic generalized functional linear models for gene-based association analysis of binary traits in longitudinal studies, (2025), Statistics and Its Interface, Vol. 18, Issue 2, 177-188.
  5. G. Xu, A. Amei, W. Wu, Y. Liu, L. Shen, E. Oh, Z. Wang, Retrospective varying coefficient association analysis of longitudinal binary traits: application to the identification of genetic loci associated with hypertension, (2024), Annals of Applied Statistics, 18(1), 487-505.
  6. Y. Liu, N. Li, J. Qi, G. Xu, J. Zhao, N. Wang, X. Huang, W. Jiang, A. Juster, T. Adams, R. Homer, A. Amei, I. Rosas, N. Kaminski, Z. Wang, X. Yan, SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data, (2024), Genome Biology, Vol 25, article number 271.
  7. X. Zhuang, G. Xu, A. Amei, D. Cordes, Z. Wang, E. Oh, Detecting time-varying genetic effects in Alzheimer's disease using a longitudinal GWAS model, (2024), Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol. 16, Issue 2, e12597.
  8. X. Zhuang, G. Xu, A. Amei, E. Oh, Longitudinal genome wide association studies in Alzheimer's disease, (2023), Alzheimer's & Dementia, 19(Suppl.12): e080574.
  9. A. Harrington, V. Vo, K. Papp, R. Tillett, C. Chang, H. Baker, S. Shen, A. Amei, C. Lockett, D. Gerrity, E. Oh, Urban monitoring of antimicrobial resistance during a COVID-19 surge through wastewater surveillance, (2022), Science of the Total Environment, 853:158577.
  10. J. ni, Y. Jiang, S. Zhai, Y. Chen, S. Li, A. Amei, D. Tran, L. Zhai, Y. Kuang, Multi-class cardiovascular disease detection and classification from 12-lead ECG signals using an inception residual network, (2021), 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 1532-1537, doi: 10.1109/COMPSAC51774.2021.00228.
  11. W. Li, A. Amei, F. Bui, S. Norouzifar, L. Lu, Z. Wang, Impact of neoantigen expression and T-cell activation on breast cancer survival, (2021), Cancers, 13(12): 2879.
  12. Q. Dai, W. Wu, A. Amei, X. Yan, L. Lu, Z. Wang, Regulation and characterization of tumor-infiltrating immune cells in breast cancer, (2021), International Immunopharmacology, 90: 107167.
  13. C. Yip. N. Okada, A. Howerton, A. Amei, E. Abel-Santos, Pharmacokinetics of CamSA, a potential prophylactic compound against clostridioides difficile infections, (2021), Biochemical Pharmacology, Vol. 183: 114314.
  14. N. Shan, N. Li, Q. Dai, X. H. Lin, Yan, A. Amei, Z. Wang, Interplay of tRNA-derived fragments and T cell activation in breast cancer patient survival, (2020) Cancers, 12(8): 2230. doi:10.3390/cancers12082230.
  15. B. Rowe, X. Chen, Z. Wang, J. Chen, A. Amei, Biological and practical implications of genome-wide association study of schizophrenia using Bayesian variable selection, (2019) npj Schizophrenia, 5, 19. doi:10.1038/s41537-019-0088-6.
  16. W. Wu, Z. Wang, K. Xu, X. Zhang, A. Amei, J. Gelernter, H. Zhao, A. Justice, Z. Wang, Retrospective association analysis of longitudinal binary traits identifies important loci and pathways in cocaine use, (2019) Genetics, Vol. 213, No. 4: 1225-1236.
  17. A. Amei, J. Xu, Inference of genetic forces using a Poisson random field model with non-constant population size, (2019) Journal of Statistical Planning and Inference, 203: 57-69.
  18. A. Amei, S. Zhou, Inferring the distribution of selective effects from a time inhomogeneous model, (2019) PLoS ONE 14(1): e0194709.
  19. X. Wang, A. Amei, J.S. de Belle, S.P. Roberts, Environmental effects on Drosophila brain development and learning, (2018), Journal of Experimental Biology, 221, jeb169375. doi:10.1242/jeb.169375.
  20. J. Xu, G. Shan, A. Amei, J. Zhao, D. Young, S. Clark, A modified Friedman test for randomized complete block designs, (2017), Communications in Statistics- Simulation and Computation, Vol 46, No. 2: 1508-1519.
  21. H. Jin, P. S. Pinheiro, J. Xu, A. Amei, Cancer incidence among Asian populations in the United States, 2009-2011, (2016), International Journal of Cancer, 138 (9): 2136-2145.
  22. G. Shan, A. Amei, D. Young, Efficient noninferiority testing procedures for simultaneously assessing sensitivity and specificity of two diagnostic test, (2015), Computational Mathematical Methods in Medicine, Vol. 2015, Article ID 128930, 7 pages.
  23. A. Amei, S. Lee, K. S. Mysore, Y. Jia, Statistical inference of selection and divergence of the rice blast resistance gene Pi-ta, (2014), G3: Genes, Genomes, Genetics, Vol. 4, No.12: 2425-2432.
  24. J. Zhang, H. Liang, A. Amei, Asymptotic normality of estimators in heteroscedastic errors-in-variables model, (2014), AStA Advances in Statistical Analysis, 98: 165-195.
  25. A. Amei, B. T. Smith, Robust estimates of divergence times and selection with a Poisson random field model: a case study of comparative phylogeographic data, (2014), Genetics, 196: 225-233.
  26.  T. Smith, A. Amei, J. Klicka, Evaluating the role of contracting and expanding rainforest in initiating cycles of speciation across the Isthmus of Panama, (2012), Proceedings of the Royal Society B: Biological Sciences, 279: 3520-3526.
  27. A. Amei, S. Sawyer, Statistical inference of selection and divergence from a time-dependent Poisson random field model, (2012), PLoS ONE, 7(4): e34413.
  28.  R. Stutman, M. Codner, A. Mahoney, A. Amei, Comparison of breast augmentation incisions and common complications, (2012), Aesthetic Plastic Surgery, 36: 1096-1104.
  29. T. Moazzeni, A. Amei, J. Ma, Y. Jiang, A statistical model based SNR estimation method for speech signals, (2012), Electronics Letters, Vol. 48, 12: 727-729.
  30. T. Moazzeni, A. Amei, J. Ma, Y. Jiang, On a new approach to SNR estimation of BPSK signals, (2012), International Journal of Electronics and Telecommunications, 58: 273-278.
  31. A. Amei, W. Fu, C. H. Ho, Time series analysis for predicting the occurrences of large scale earthquakes, (2012), International Journal of Applied Science and Technology, 2: 64-75.
  32.  A. Amei, S. Sawyer, A time-dependent Poisson random field model for polymorphism within and between two related biological species, (2010), Annals of Applied Probability, Vol 20, No.5, 1663-1696.
  33. M. Cheney, J. Liu, A. Amei, X. Zhao, S. Joo, S. Qian, A comparative study on the uptake of polycyclic aromatic hydrocarbons by Anodonta californiensis, (2009), Environmental Pollution, 157, 601-608.
  34. Y. Cheng, A. Amei, Integrate type of Darboux transformation,  (1999), Annals of Mathematics (China) 20A: 6(1999) 667-672.

 

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