Author

Mariusz Ferenc

Institute of Biocybernetics and Biomedical EngineeringORCID 0000-0003-4252-6986Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:host-pathogen & immune response· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Anna LopatinaiD· 1 shared Fatima A. HussainiD· 1 shared Kerrin SteenseniD· 1 shared Leila Afjehi‐SadatiD· 1 shared Madeleine SchnureriD· 1 shared Martin F. PolziD· 1 shared Michael WolframiD· 1 shared Nina BartlauiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Anna LopatinaORCID

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1 paper

Recent·Most cited

MicrobiologybioRxivPreprintJun 14, 2024

Interpretable machine learning reveals a diverse arsenal of anti-defenses in bacterial viruses

Anna Lopatina, Mariusz Ferenc, Nina Bartlau…·Martin F. Polz

The paper uses interpretable machine learning to identify anti-defense genes in bacterial viruses, revealing their ability to counteract diverse bacterial immune systems.

7 citations

bacteria (other)proteomics

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