Author

M. Moscoloni

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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Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

C. S. Lara· 1 shared J. Zintgraff· 1 shared L. Irazu· 1 shared M. F. Rocca· 1 shared M. Santos· 1 shared N. S. Eluchans· 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

C. S. Lara

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1 paper

Recent·Most cited

A la carte, Streptococcus pneumoniae capsular typing: using MALDI-TOF mass spectrometry and machine learning algorithms as complementary tools for the determination of PCV13 serotypes and the most prevalent NON PCV13 serotypes according to Argentina's epidemiology.

J. Zintgraff, M. F. Rocca, N. S. Eluchans, L. Irazu, M. Moscoloni, C. S. Lara, M. Santos

This paper evaluates MALDI-TOF MS combined with machine learning for serotyping S. pneumoniae isolates in Argentina, achieving moderate accuracy in identifying PCV13 and non-PCV13 serotypes.

bioRxiv · Dec 22, 2022 · PreprintMicrobiology