Author

M. I. Bogachev

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 1 Microbiology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. R. Kayumov· 2 shared A. I. Lyanova· 1 shared A. Kayumov· 1 shared A. M. Gafurov· 1 shared A. M. Khabibrakhmanova· 1 shared A. M. Sinitca· 1 shared A. N. Safonova· 1 shared A. R. Kurbangalieva· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersEcology

A. R. Kayumov

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Milti-Scale Detrended Partial Cross-Correlation Analysis of Tree Ring Width and Climate Variations: Revealing Heat and Drought Stress Resilience Factors in a Forest Ecosystem

M. I. Bogachev, A. M. Gafurov, P. Y. Iskandirov, D. I. Kaplun, A. R. Kayumov, A. I. Lyanova, N. S. Pyko, S. A. Pyko, A. N. Safonova, A. M. Sinitca, B. M. Usmanov, D. V. Tishin

This paper uses modified detrended partial cross-correlation analysis to examine how local hydrological conditions affect tree growth resilience to heat and drought stress in different forest areas.

bioRxiv · May 30, 2023 · PreprintEcology

Improved online event detection and differentiation by a simple gradient-based nonlinear transformation: Implications for the biomedical signal and image analysis

A. Sokolova, Y. Uljanitski, A. Kayumov, M. I. Bogachev

The paper introduces a gradient-based nonlinear transformation for improved online event detection in biomedical signals and images, showing better accuracy than conventional methods in ECG and gel image analysis.

bioRxiv · Aug 16, 2020Physiology

Bidirectional alterations in antibiotics susceptibility in Staphylococcus aureus - Pseudomonas aeruginosa dual-species biofilm

A. R. Kayumov, E. J. Trizna, M. N. Yarullina, F. S. Akhatova, E. V. Rozhina, R. F. Fakhrullin, A. M. Khabibrakhmanova, A. R. Kurbangalieva, M. I. Bogachev

This study shows that mixed biofilms of S. aureus and P. aeruginosa exhibit bidirectional changes in antibiotic susceptibility compared to monocultures, suggesting that combined antimicrobials may improve treatment of mixed infections.

bioRxiv · Mar 7, 2020Microbiology