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  1. Data-driven regularization of inverse problem for SEIR-HCD model of COVID-19 propagation in Novosibirsk region

    Krivorotko, O. & Zyatkov, N. Y., 2022, In: Eurasian Journal of Mathematical and Computer Applications. 10, 1, p. 51-68 18 p.

    Research output: Contribution to journal › Article › peer-review

  2. Data-driven turbulence modeling for fluid flow and heat transfer in peripheral subchannels of a rod bundle

    Li, H., Yakovenko, S., Ivashchenko, V., Lukyanov, A., Mullyadzhanov, R. & Tokarev, M., 2024, In: Physics of Fluids. 36, 2

    Research output: Contribution to journal › Article › peer-review

  3. Data-driven turbulence modelling using symbolic regression

    Chakrabarty, A. & Yakovenko, S. N., 13 Dec 2021, In: Journal of Physics: Conference Series. 2099, 1, 012020.

    Research output: Contribution to journal › Conference article › peer-review

  4. Data for isolation and properties analysis of diastereomers of a mono-substituted phosphoryl guanidine trideoxyribonucleotide

    Lomzov, A. A., Kupryushkin, M. S., Shernyukov, A. V., Nekrasov, M. D., Dovydenko, I. S., Stetsenko, D. A. & Pyshnyi, D. V., 1 Aug 2019, In: Data in Brief. 25, p. 104148 25 p., 104148.

    Research output: Contribution to journal › Article › peer-review

  5. Data mining and model-predicting a global disease reservoir for low-pathogenic Avian Influenza (A) in the wider pacific rim using big data sets

    Gulyaeva, M., Huettmann, F., Shestopalov, A., Okamatsu, M., Matsuno, K., Chu, D. H., Sakoda, Y., Glushchenko, A., Milton, E. & Bortz, E., 1 Dec 2020, In: Scientific Reports. 10, 1, 11 p., 16817.

    Research output: Contribution to journal › Article › peer-review

  6. Data of correlation analysis between the density of H3K4me3 in promoters of genes and gene expression: Data from RNA-seq and ChIP-seq analyses of the murine prefrontal cortex

    Reshetnikov, V. V., Kisaretova, P. E., Ershov, N. I., Merkulova, T. I. & Bondar, N. P., Dec 2020, In: Data in Brief. 33, 7 p., 106365.

    Research output: Contribution to journal › Article › peer-review

  7. Data on PAGE analysis and MD simulation for the interaction of endonuclease Apn1 from Saccharomyces cerevisiae with DNA substrates containing 5,6-dihydrouracyl and 2-aminopurine

    Dyakonova, E. S., Koval, V. V., Lomzov, A. A., Ishchenko, A. A. & Fedorova, O. S., 1 Oct 2018, In: Data in Brief. 20, p. 1515-1524 10 p.

    Research output: Contribution to journal › Article › peer-review

  8. Data on the structure, chemical state of carbon and discharge characteristics of multi-walled carbon nanotubes and composites based on them modified by pulsed ion beam

    Korusenko, P. M., Nesov, S. N., Povoroznyuk, S. N., Bolotov, V. V., Sten'kin, Y., Pushkarev, A. I., Fedorovskaya, E. O., Smirnov, D. A. & Ivlev, K. E., 1 Aug 2019, In: Data in Brief. 25, 6 p., 104108.

    Research output: Contribution to journal › Article › peer-review

  9. Data on the structure, chemical state of silicon carbide synthesized by adiabatic cyclic compression in a chemical reactor

    Ezdin, B., Yatsenko, D., Kalyada, V., Zarvin, A., Ichshenko, A., Nikiforov, A. & Snytnikov, P., Feb 2020, In: Data in Brief. 28, 7 p., 104868.

    Research output: Contribution to journal › Article › peer-review

  10. Data on the time of integration of the human mitochondrial pseudogenes (NUMTs) into the nuclear genome

    Gunbin, K., Peshkin, L., Popadin, K., Annis, S., Ackermann, R. R. & Khrapko, K., 1 Aug 2017, In: Data in Brief. 13, p. 536-544 9 p.

    Research output: Contribution to journal › Article › peer-review

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