Author

F. Palma

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· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Combary· 1 shared A. Criscuolo· 1 shared B. Brancotte· 1 shared B. Raffestin· 1 shared C. A. Yeats· 1 shared C. Crestani· 1 shared C. Rodrigues· 1 shared D. A. Sarti· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperMicrobiology

A. Combary

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Author profile →

3 papers

Recent·Most cited

Life Identification Numbers: A bacterial strain nomenclature approach

F. Palma, M. Hennart, K. A. Jolley, C. Crestani, K. L. Wyres, S. Bridel, C. A. Yeats, B. Brancotte, B. Raffestin, S. David, M. M. C. Lam, R. Izdebski, V. Passet, C. Rodrigues, M. Rethoret-Pasty, , S. Brisse

The paper proposes the Life Identification Number (LIN) system as a stable, multilevel strain taxonomy for bacterial pathogens based on core genome MLST to improve epidemiological tracking and nomenclature consistency.

bioRxiv · Mar 11, 2024Microbiology

INTERPRETABLE MACHINE LEARNING UNVEILS KEY PREDICTORS AND DEFAULT VALUES IN AN EXPANDED DATABASE OF HUMAN IN VITRO DERMAL ABSORPTION STUDIES WITH PESTICIDES

D. A. Sarti, J. Wagner, F. Palma, H. Kalvan, M. F. Giachini, D. Lautenschalaeger, V. Lupianhez, J. C. Pires, M. Sales, P. M. de Faria, L. C. Bertomeu, M. Le Bras

This paper uses interpretable machine learning to identify key predictors and establish default dermal absorption values for pesticides based on in vitro human skin studies.

bioRxiv · May 11, 2023Pharmacology & Toxicology

AB_SA: Tracing the source of bacterial strains based on accessory genes. Application to Salmonella Typhimurium environmental strains

L. GUILLIER, M. Gourmelon, S. Lozach, S. Cadel-Six, M.-L. Vignaud, N. S. Munck, T. Hald, F. Palma

The paper introduces AB_SA, a method using accessory genes and multinomial logistic regression to predict the animal source of Salmonella Typhimurium isolates with high accuracy.

bioRxiv · Oct 31, 2019Microbiology