Author

M. F. Rocca

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

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:machine learning (classical)· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

C. S. Lara· 1 shared C. Vay· 1 shared E. Baumeister· 1 shared E. Benedetti· 1 shared F. M. Nachtigall· 1 shared J. C. Zintgraff· 1 shared J. Zintgraff· 1 shared L. Irazu· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMicrobiology

C. S. Lara

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2 papers

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

A Combined approach of MALDI-TOF Mass Spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs.

M. F. Rocca, J. C. Zintgraff, M. E. Dattero, L. Silva Santos, M. Ledesma, C. Vay, M. A. Prieto, E. Benedetti, M. Avaro, M. Russo, F. M. Nachtigall, E. Baumeister

This study explores using MALDI-TOF mass spectrometry with multivariate analysis as a potential rapid diagnostic tool for SARS-CoV-2 in nasopharyngeal swabs, showing promising preliminary results.

bioRxiv · May 7, 2020Microbiology