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  1. Targeted metabolomics approach for identification of relapsing-remitting multiple sclerosis markers and evaluation of diagnostic models

    Kasakin, M. F., Rogachev, A. D., Predtechenskaya, E. V., Zaigraev, V. J., Koval, V. V. & Pokrovsky, A. G., 1 Oct 2019, In: MedChemComm. 10, 10, p. 1803-1809 7 p.

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

  2. Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales

    Penenko, V. V., 2016, 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Romanovskii, O. A. & Matvienko, G. G. (eds.). SPIE, 100355A. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10035).

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

  3. Targeted Sequencing for Studying Economically Useful Traits and Phylogenetic Diversity of Ancient Sheep

    Kechin, A. A., Dymova, M. A., Tishkin, A. A., Grushin, S. P., Dashkovskiy, P. K. & Filipenko, M. L., 1 Dec 2019, In: Russian Journal of Genetics. 55, 12, p. 1499-1505 7 p.

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

  4. Targeted Sequencing of 242 Clinically Important Genes in the Russian Population From the Ivanovo Region

    Ramensky, V. E., Ershova, A. I., Zaicenoka, M., Kiseleva, A. V., Zharikova, A. A., Vyatkin, Y. V., Sotnikova, E. A., Efimova, I. A., Divashuk, M. G., Kurilova, O. V., Skirko, O. P., Muromtseva, G. A., Belova, O. A., Rachkova, S. A., Pokrovskaya, M. S., Shalnova, S. A., Meshkov, A. N. & Drapkina, O. M., 7 Oct 2021, In: Frontiers in Genetics. 12, 709419.

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

  5. Targeted sequencing reveals complex, phenotype-correlated genotypes in cystic fibrosis

    Ivanov, M., Matsvay, A., Glazova, O., Krasovskiy, S., Usacheva, M., Amelina, E., Chernyak, A., Ivanov, M., Musienko, S., Prodanov, T., Kovalenko, S., Baranova, A. & Khafizov, K., 13 Feb 2018, In: BMC Medical Genomics. 11, Suppl 1, p. 13 12 p., 13.

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

  6. Targeting cancer cells through antibiotics-induced mitochondrial dysfunction requires autophagy inhibition

    Esner, M., Graifer, D., Lleonart, M. E. & Lyakhovich, A., 1 Jan 2017, In: Cancer Letters. 384, p. 60-69 10 p.

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

  7. Tarskian consequence relations bilaterall: some familiar notions

    Drobyshevich, S., Oct 2021, In: Synthese. 198, Suppl 22, p. 5213-5240 28 p.

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

  8. Task-driven approach to artificial intelligence

    Vityaev, E. E., Goncharov, S. S. & Sviridenko, D. I., Sept 2023, In: Cognitive Systems Research. 81, p. 50-56 7 p.

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

  9. Task-positive and task-negative networks and their relation to depression: EEG beamformer analysis

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V., Tamozhnikov, S. S. & Saprigyn, A. E., 1 Jun 2016, In: Behavioural Brain Research. 306, p. 160-169 10 p.

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

  10. Task-positive and task-negative networks in major depressive disorder: A combined fMRI and EEG study

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V., Brak, I. V., Osipov, E. A., Filimonova, E. A., Saprigyn, A. E. & Aftanas, L. I., 1 Aug 2018, In: Journal of Affective Disorders. 235, p. 211-219 9 p.

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

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