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  1. RatDEGdb: a knowledge base of differentially expressed genes in the rat as a model object in biomedical research

    Chadaeva, I. V., Filonov, S. V., Zolotareva, K. A., Khandaev, B. M., Ershov, N. I., Podkolodnyy, N. L., Kozhemyakina, R. V., Rasskazov, D. A., Bogomolov, A. G., Kondratyuk, E. Y., Klimova, N. V., Shikhevich, S. G., Ryazanova, M. A., Fedoseeva, L. A., Redina, О. Е., Kozhevnikova, O. S., Stefanova, N. A., Kolosova, N. G., Markel, A. L., Ponomarenko, M. P., & 1 othersOshchepkov, D. Y., Dec 2023, In: Vavilovskii Zhurnal Genetiki i Selektsii. 27, 7, p. 794-806 13 p.

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

  2. Random walk algorithms for solving nonlinear chemotaxis problems

    Sabelfeld, K. K. & Bukhasheev, O., 1 Sept 2024, In: Monte Carlo Methods and Applications. 30, 3, p. 235-248 14 p.

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

  3. Randomized Greedy Strategy with Corner Filling for the Irregular 2D Bin Packing Problem

    Shperling, S. & Kochetov, Y., 20 Dec 2024, Communications in Computer and Information Science. Springer, p. 250-263 14 p. 17. (Communications in Computer and Information Science; vol. 2239 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Raman Scattering Spectroscopy and Photoluminescence of GaAs Nanowires

    Kalachev, I. V., Milekhin, I. A., Emel’yanov, E. A., Preobrazhenskii, V. V., Tumashev, V. S., Milekhin, A. G. & Latyshev, A. V., Dec 2023, In: Optoelectronics, Instrumentation and Data Processing. 59, 6, p. 659-666 8 p.

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

  5. Quasivariety generated by the suborder lattice. I. Equational bases

    Kadyrova, O. A. & Schwidefsky, M. V., 2023, In: Siberian Electronic Mathematical Reports. 20, 1, p. 62-71 10 p.

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

  6. Quantum Invariants of Knotoids

    Gügümcü, N. & Kauffman, L. H., Nov 2021, In: Communications in Mathematical Physics. 387, 3, p. 1681-1728 48 p.

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

  7. Quantization noise in low bit quantization and iterative adaptation to quantization noise in quantizable neural networks

    Chudakov, D., Goncharenko, A., Alyamkin, S. & Densidov, A., 20 Dec 2021, In: Journal of Physics: Conference Series. 2134, 1, 012004.

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

  8. Quantity of the inverse problem data for the system of conservation laws

    Klyuchinskiy, D. V., Novikov, N. S. & Shishlenin, M. A., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012020.

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

  9. Quantitative prediction of enhancer-promoter interactions

    Belokopytova, P. S., Nuriddinov, M. A., Mozheiko, E. A., Fishman, D. & Fishman, V., 1 Jan 2020, In: Genome Research. 30, 1, p. 72-84 13 p.

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

  10. Quantitative Evaluation of Thread-Local Garbage Collection Efficiency for Java

    Filatov, A. Y. & Mikheev, V. V., 1 Jan 2019, In: Programming and Computer Software. 45, 1, p. 1-11 11 p.

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

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