Author

E. Cercenado

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· 3

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1

Frequent Co-Authors

A. Candela· 3 shared B. Rodriguez-Sanchez· 3 shared P. Munoz· 3 shared A. Guerrero-Lopez· 2 shared D. Rodriguez-Temporal· 2 shared G. Mendez· 2 shared L. Mancera· 2 shared M. Hernandez-Garcia· 2 shared

Activity by Year

2021-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersMicrobiology

A. Candela

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Automatic discrimination of species within the Enterobacter cloacae complex using MALDI-TOF Mass Spectrometry and supervised algorithms

A. Candela, A. Guerrero-Lopez, M. Mateos, A. Gomez Asenjo, M. J. Arroyo, M. Hernandez-Garcia, R. del Campo, E. Cercenado, A. Cuenod, G. Mendez, L. Mancera, J. d. D. Caballero, L. Martinez-Garcia, D. Gijon, M. I. Morosini, , B. Rodriguez-Sanchez

This paper develops machine learning models using MALDI-TOF MS data to accurately differentiate species within the Enterobacter cloacae complex.

bioRxiv · Nov 2, 2021 · PreprintMicrobiology

Automatic antibiotic resistance prediction in Klebsiella pneumoniae based on MALDI-TOF mass spectra

A. Guerrero-Lopez, C. Sevilla-Salcedo, A. Candela, M. Hernandez-Garcia, E. Cercenado, P. M. Olmos, R. Canton, P. Munoz, V. Gomez-Verdejo, R. del Campo, B. Rodriguez-Sanchez

This paper introduces a Bayesian model to predict antibiotic resistance in Klebsiella pneumoniae using MALDI-TOF mass spectra, outperforming existing methods by avoiding preprocessing and hyperparameter tuning.

bioRxiv · Oct 4, 2021 · PreprintMicrobiology

Rapid and reproducible MALDI-TOF-based method for detection Vancomycin-resistant Enterococcus faecium using classifying algorithms

A. Candela, M. J. Arroyo, A. Sanchez-Molleda, G. Mendez, D. Rodriguez-Temporal, L. Quiroga, A. Ruiz, E. Cercenado, M. Marin, P. Munoz, L. Mancera, B. Rodriguez-Sanchez

This study evaluates MALDI-TOF MS for detecting vancomycin-resistant Enterococcus faecium using classification algorithms, achieving 77.53-86.65% accuracy in distinguishing resistance types.

bioRxiv · Jun 23, 2021Microbiology