Publications

• Zero-inflated modeling with smoothing on counting tensors
  E. Tuzhilina, Y. Zhen.
  arXiv preprint, 2026.
  Link

• Sparse Covariate-Driven Factorization of High-Dimensional Brain Connectivity with Application to Site Effect Correction
  R. Zhang, E. Tuzhilina, J. Y. Park.
  arXiv preprint, 2026.
  Link Package

• Weighted Low-Rank Matrix Approximation: Acceleration and Applications
  E. Tuzhilina, T. Hastie.
  arXiv preprint, 2026.
  Link Package

• Efficient Canonical Correlation Analysis with Sparsity
  Z. Wu, C. Rousseau, E. Tuzhilina, C. Donnat.
  accepted to Electronic Journal of Statistics, 2026.
  Link Package

• Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions
  C. Donnat, E. Tuzhilina.
  arXiv preprint, 2024.
  Link Package

• Statistical Curve Models for Inferring 3D Chromatin Architecture
  E. Tuzhilina, T. Hastie, M. Segal.
  Annals of Applied Statistics, 18(2): 2024.
  Link Package

• Smooth Multi-Period Forecasting with Application to Prediction of COVID-19 Cases
  E. Tuzhilina, T. Hastie, R. Tibshirani.
  Journal of Computational and Graphical Statistics, 32(4), 2023.
  Link Code

• Principal Component Analysis
  M. Greenacre, P. Groenen, T. Hastie, A. D’Enza, A. Markos, E. Tuzhilina.
  Nature Reviews Methods Primers, 2:100, 2022.
  Link

• An Open Repository of Real-Time COVID-19 Indicators
  A. Reinhart et al., E. Tuzhilina.
  Proceedings of the National Academy of Sciences, 118(5): e2111452118, 2021.
  Link

• Canonical Correlation Analysis in High Dimensions with Structured Regularization
  E. Tuzhilina, L. Tozzi, T. Hastie.
  Statistical Modelling, 23(3): 203–227, 2021.
  Link Package

• Relating Whole-Brain Functional Connectivity to Self-Reported Negative Emotion in a Large Sample of Young Adults Using Group-Regularized Canonical Correlation Analysis
  L. Tozzi, E. Tuzhilina, M. Glasser, T. Hastie, L. Williams.
  NeuroImage, 237: 118137, 2021.
  Link

• Principal Curve Approaches for Inferring 3D Chromatin Architecture
  E. Tuzhilina, T. Hastie, M. Segal.
  Biostatistics, 22(4): 834–850, 2021.
  Link Package

• Analyzing the Data Bank of Protein Space Structures (PDB): A Geometrical Approach
  E. Vilkul (Tuzhilina), A. Ivanov, A. Mishchenko, F. Popelensky, A. Tuzhilin, K. Shaitan.
  Journal of Mathematical Sciences, 225(4): 555–564, 2017.
  Link

• Addendum to Critical Analysis of Amino Acids and Polypeptides Geometry
  A. Ivanov, A. Mishchenko, A. Tuzhilin.
  In Continuous and Distributed Systems: Theory and Applications, Vol. 2, pp. 29–74, 2015.
  Link

• A Geometric Approach to the Analysis of the Data Bank of 3D Protein Structures (PDB)
  E. Vilkul (Tuzhilina), A. Ivanov, A. Mishchenko, F. Popelensky, A. Tuzhilin, K. Shaitan.
  Pure and Applied Mathematics, 20(3): 33–46, 2015.
  Link

• Conformations of Swivel Chain as a Model of Protein Folding
  E. Vilkul (Tuzhilina), A. Ivanov, A. Tuzhilin.
  Mathematical Physics and Modeling, 13(2): 25–42, 2015.
  Link

• Geometry of Amino Acids and Polypeptides: The Case of X-Ray Analysis
  E. Vilkul (Tuzhilina), A. Tuzhilin.
  Mathematical Physics and Modeling, 11(2): 5–27, 2014.
  Link

Patents

• Data-driven Automated Selection of Profiles of Translation Professionals for Translation Tasks
  A. Ukrainets, V. Gusakov, I. Smolnikov, E. Tuzhilina.
  US Patent US20190065463, 2019.
  Link

• System and Method of Intellectual Automatic Selection of Performers of Translation
  A. Ukrainets, E. Tuzhilina, V. Gusakov, I. Smolnikov.
  RU Patent RU2667030, 2018.
  Link