1. Gene networks and metabolomic screening analysis revealed specific pathways of amino acid and acylcarnitine profile alterations in blood plasma of patients with Parkinson’s disease and vascular parkinsonism

    Makarova, A. A., Melnikova, P. M., Rogachev, A. D., Demenkov, P. S., Ivanisenko, T. V., Predtechenskaya, E. V., Karmanov, S. Y., Koval, V. V., Pokrovsky, A. G., Lavrik, I. N., Kolchanov, N. A. & Ivanisenko, V. A., Dec 2024, In: Вавиловский журнал генетики и селекции. 28, 8, p. 927-939 13 p.

    Research output: Contribution to journalArticlepeer-review

  2. Harnessing Ensemble Machine Learning Models for Timely Diagnosis of Breast Cancer Metastasis: A Case Study on CatBoost, XGBoost, and LGBM

    Luu, M. S. K., Banerjee, S., Pavlovskiy, E. N. & Tuchinov, B. N., 2024, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 2320-2325 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  3. High-speed droplet impact on solid surfaces: review on the prospects of modeling fluid flow

    Vozhakov, I. S., Misyura, S. Y., Morozov, V. S., Piskunov, M. V., Piskunova, A. E., Orlova, E. G. & Mullyadzhanov, R. I., 3 Mar 2025, In: Experiments in Fluids. 66, 3, 65.

    Research output: Contribution to journalReview articlepeer-review

  4. Housing and husbandry factors affecting zebrafish novel tank test responses: a global multi-laboratory study

    Hillman, C., Fontana, B. D., Amstislavskaya, T. G., Gorbunova, M. A., Altenhofen, S., Barthelson, K., Bastos, L. M., Borba, J. V., Bonan, C. D., Brennan, C. H., Farías-Cea, A., Cooper, A., Corcoran, J., Dondossola, E. R., Martinez-Duran, L. M., Gallas-Lopes, M., Galstyan, D. S., Garcia, E. O., Gerken, E., Hindges, R., & 32 othersKenney, J. W., Kleshchev, M. A., Kolesnikova, T. O., Leggieri, A., Khatsko, S. L., Lardelli, M., Lodetti, G., Lombardelli, G., Luchiari, A. C., Portela, S. M., Medan, V., Moutinho, L. M., Nekhoroshev, E. V., Petersen, B. D., Petrunich-Rutherford, M. L., Piato, A., Porfiri, M., Read, E., Resmim, C. M., Rico, E. P., Rosemberg, D. B., de Abreu, M. S., Salazar, C. A., Stahlhofer-Buss, T., Teixeira, J. R., Valentim, A. M., Zhdanov, A. V., Iturriaga-Vásquez, P., Wang, X., Wong, R. Y., Kalueff, A. V. & Parker, M. O., 27 May 2025, In: Lab Animal. 54, 6, p. 156-164 9 p., 15081.

    Research output: Contribution to journalArticlepeer-review

  5. Impact of lanthanum doping on the electronic structure of oxygen vacancies in hafnium oxide

    Perevalov, T. V. & Islamov, D. R., 30 Jan 2024, In: Computational Materials Science. 233, 5 p., 112708.

    Research output: Contribution to journalArticlepeer-review

  6. Influence of Phase Cross-Modulation Effects on the Narrowband Lasing Mode of a Random Fiber Laser

    Gorbunov, O. A., Vatnik, I. D. & Churkin, D. V., 23 Jun 2025, In: Optoelectronics, Instrumentation and Data Processing. 61, 1, p. 19-25 7 p.

    Research output: Contribution to journalArticlepeer-review

  7. In situ reflection electron microscopy for the surface processes analysis during sublimation and epitaxial growth of layered metal chalcogenides

    Ponomarev, S. A., Rogilo, D. I., Zakhozhev, K. E., Nasimov, D. A., Kurus, N. N., Gutakovskii, A. K., Kokh, K. A., Milekhin, A. G., Sheglov, D. V. & Latyshev, A. V., 2024, In: Modern Electronic Materials. 10, 4, p. 251-261 11 p.

    Research output: Contribution to journalArticlepeer-review

  8. Interpretable logical-probabilistic approximation of neural networks

    Vityaev, E. & Korolev, A., Dec 2024, In: Cognitive Systems Research. 88, 101301.

    Research output: Contribution to journalArticlepeer-review

  9. Interpretation models for data of metal-oxide gas sensors based on machine learning methods

    Kozmin, A. D. & Redyuk, A. A., 2024, In: Journal of Computational Technologies. 29, 4, p. 4-23 20 p.

    Research output: Contribution to journalArticlepeer-review

  10. Investigation of metabolic features of glioblastoma tissue and the peritumoral environment using targeted metabolomics screening by LC-MS/MS and gene network analysis

    Basov, N. V., Adamovskaya, A. V., Rogachev, A. D., Gaisler, E. V., Demenkov, P. S., Ivanisenko, T. V., Venzel, A. S., Mishinov, S. V., Stupak, V. V., Cheresiz, S. V., Oleshko, O. S., Butikova, E. A., Osechkova, A. E., Sotnikova, Y. S., Patrushev, Y. V., Pozdnyakov, A. S., Lavrik, I. N., Ivanisenko, V. A. & Pokrovsky, A. G., Dec 2024, In: Вавиловский журнал генетики и селекции. 28, 8, p. 882-896 15 p.

    Research output: Contribution to journalArticlepeer-review

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