Author

C. Tamburini

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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Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

B. Al Ali· 1 shared D. Nerini· 1 shared L. Izard· 1 shared M. Garel· 1 shared M. Vienne· 1 shared S. Martini· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperMicrobiology

B. Al Ali

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1 paper

Recent·Most cited

A ready-to-use logistic Verhulst model implemented in R shiny to estimate growth parameters of microorganisms

M. Garel, L. Izard, M. Vienne, D. Nerini, B. Al Ali, C. Tamburini, S. Martini

The paper introduces a Shiny web application that estimates microorganism growth parameters using a logistic Verhulst model, improving upon traditional linear regression methods.

bioRxiv · Jul 29, 2022 · PreprintMicrobiology