Author

Yahia Benzerara

Sorbonne UniversitéORCID 0000-0002-2010-2931Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexandra AubryiD· 1 shared Alexandre GodmeriD· 1 shared Alexis François· 1 shared Azadeh SaffarianiD· 1 shared Blanca Bernabeu Vilaplana· 1 shared Catherine EckertiD· 1 shared Cedric Galinat· 1 shared Emmanuelle VaroniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Alexandra AubryORCID

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2 papers

Recent·Most cited

Lytic bacteriophages active in urine against multi-drug resistant clinically derived Klebsiella pneumoniae causing urinary tract infection

Ruxandra Câlin, Blanca Bernabeu Vilaplana, Judeline Gedeon, Estelle Capton, Alexis François, Cedric Galinat, Azadeh Saffarian, Gautier Pierrat, Yahia Benzerara, Sébastien Wurtzer, Laurent Moulin, Catherine Eckert, Régis Tournebize

The paper isolates and characterizes three lytic bacteriophages active against multi-drug resistant Klebsiella pneumoniae in urine, showing higher lytic activity in human urine than in LB medium.

International Journal of Infectious Diseases · Jul 5, 2026Peer-reviewedMicrobiology

MSclassifR: an R package for supervised classification of mass spectra with machine learning methods

Alexandre Godmer, Yahia Benzerara, Emmanuelle Varon, Nicolas Véziris, Karen Druart, Renaud Mozet, Mariette Matondo, Alexandra Aubry, Quentin Giai Gianetto

MSclassifR is an R package that improves mass spectra classification using machine learning, achieving high accuracy on real datasets and outperforming commercial software.

Expert Systems with Applications · Jun 27, 2025Peer-reviewedBioinformatics