Publications
Preprints
“Weighted Low Rank Matrix Approximation and acceleration”, E.Tuzhilina, T.Hastie, submitted to Journal of the American Statistical Association, 2021.
“An Open Repository of RealTime COVID19 Indicators”, A. Reinhart, L. Brooks, M. Jahja,
A.Rumack, J.Tang, W. Saeed, T.Arnold, A.Basu, J.Bien, A.Cabrera, A.Chin, E.Chua, B.Clark,
N.DeFries, J.Forlizzi, S.Gratzl, A.Green, G.Haff, R.Han, A.Hu, S.Hyun, A.Joshi, J.Kim, A.Kuznetsov,
W.MotteKerr, K.Lee, Y.Lee, Z.Lipton, M.Liu, L.Mackey, K.Mazaitis, D.McDonald, B.Narasimhan, N.Oliveira,
P.Patil, A.Perer, C.Politsch, S.Rajanala, D.Rucker, N.Shah, V.Shankar, J.Sharpnack, D.Shemetov, N.Simon,
V.Srivastava, S.Tan, R.Tibshirani, E.Tuzhilina, A.Nortwick, V.Ventura, L.Wasserman, J.Weiss, K.Williams,
R.Rosenfeld, R.Tibshirani, submitted to Proceedings of the National Academy of Sciences, 2021.
Journal Papers
“Canonical Correlation Analysis in high dimensions with structured regularization”, E.Tuzhilina, L.Tozzi, T.Hastie, Statisticsl Modelling, SAGE, 2021
“Relating wholebrain functional connectivity to selfreported 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, Vol. 237, pp. 118137, 2021
“Principal curve approaches for inferring 3D chromatin architecture”, E.Tuzhilina, T.Hastie, M.Segal, Biostatistics, 2020
“Analyzing the Data Bank of Proteins Space Structures (PDB); A Geometrical Approach”, E.Vilkul (Tuzhilina), A.Ivanov, A.Mishchenko, F.Popelensky, A.Tuzhilin, K.Shaitan, Springer, Journal of mathematical Sciences, Vol. 225, number 4, pp. 555–564, 2017
Addendum to the article “Critical analysis of amino acids and polypeptides geometry”, A.Ivanov, A.Mishchenko, A.Tuzhilin, Springer, Continuous and Distributed Systems: Theory and Applications, Vol. 2, pp. 29–74, 2015
“A geometric approach to the analysis of the data bank of the threedimensional structures of proteins (PDB)”, E.Vilkul (Tuzhilina), A.Ivanov, A.Mishchenko, F.Popelensky, A.Tuzhilin, K.Shaitan, Intuit, Pure and Applied Mathematics, Vol. 20, number 3, pp. 3346, 2015
“Conformations of swivel chain as a model of protein folding”, E.Vilkul (Tuzhilina), A.Ivanov, A.Tuzhilin, The Journal of Nanostructures, Mathematical physics and modeling, Vol. 13, number 2, pp. 2542, 2015
“Geometry of amino acids and polypeptides: the case of Xray analysis”, E.Vilkul (Tuzhilina), A.Tuzhilin, The Journal of Nanostructures, Mathematical physics and modeling, Vol. 11, number 2, pp. 527, 2014
Patents
“Datadriven automated selection of profiles of translation professionals for translation tasks”, A.Ukrainets, V.Gusakov, I.Smolnikov, E.Tuzhilina, patent number US20190065463, 2019
“System and method of intellectual automatic selection of performers of translation”, A.Ukrainets, E.Tuzhilina, V.Gusakov, I.Smolnikov, patent number RU2667030, 2018
