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Issue | Title | |
Online First | Differential chemoproteomic analysis of RRS-1 candidate molecule and molecules of several nonsteroidal anti-inflammatory drugs | Abstract similar documents |
P. A. Galenko-Yaroshevsky, I. Yu. Torshin, A. N. Gromov, O. A. Gromova, K. F. Suzdalev, R. A. Murashko, A. V. Zelenskaya, A. V. Zadorozhniy, T. R. Glechyan, G. V. Simavonyan, E. M.I. Muhammad | ||
"... of candidate molecule RRS-1 (N-{(Z)-2-(1-methyl-1H-indol-3-yl)-1-[(propylamino)carbonyl]vinyl}benzamide) from ..." | ||
Vol 17, No 3 (2024) | Differential chemoproteomic analysis of RRS-1 candidate molecule and molecules of several nonsteroidal anti-inflammatory drugs | Abstract similar documents |
P. A. Galenko-Yaroshevsky, I. Yu. Torshin, A. N. Gromov, O. A. Gromova, K. F. Suzdalev, R. A. Murashko, A. V. Zelenskaya, A. V. Zadorozhniy, T. R. Glechyan, G. V. Simavonyan, E.M. I. Muhammad | ||
"... of candidate molecule RRS-1 (N-{(Z)-2-(1-methyl-1H-indol-3-yl)1-[(propylamino)carbonyl]vinyl}benzamide) from ..." | ||
Vol 14, No 4 (2021) | Machine learning based on laboratory data for disease prediction | Abstract similar documents |
A. V. Gusev, R. E. Novitskiy, A. A. Ivshin, A. A. Alekseev | ||
"... Objective: to review domestic and foreign literature on the issue of machine learning methods ..." | ||
Vol 14, No 3 (2021) | COVID-19 pandemic prediction model based on machine learning in selected regions of the Russian Federation | Abstract similar documents |
D. V. Gavrilov, R. V. Abramov, А. V. Kirilkina, А. А. Ivshin, R. E. Novitskiy | ||
"... . The advantage of the CatBoost machine learning method over linear regression was shown using the example ..." | ||
Vol 13, No 2 (2020) | Analysis of 19.9 million publications from the PubMed/MEDLINE database using artificial intelligence methods: approaches to the generalizations of accumulated data and the phenomenon of “fake news | Abstract similar documents |
I. Yu. Torshin, O. A. Gromova, L. V. Stakhovskaya, N. P. Vanchakova, A. N. Galustyan, Zh. D. Kobalava, T. R. Grishina, A. N. Gromov, I. A. Ilovaiskaya, V. M. Kodentsova, A. G. Kalacheva, O. A. Limanova, V. A. Maksimov, S. I. Malyavskaya, E. V. Mozgovaya, N. I. Tapilskaya, K. V. Rudakov, V. A. Semenov | ||
"... of a system for sentiment analysis (i.e. analysis of emotional modality) of biomedical publications ..." | ||
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