Author

P. Mastroeni

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 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Organism:human· 1 Assay:imaging· 1 Approach:microscopy & imaging analysis· 1 Organism:mouse· 1

Frequent Co-Authors

O. Restif· 2 shared R. Dybowski· 2 shared A. Barreto da Silva· 1 shared A. Breuze· 1 shared A. Dabrowska· 1 shared A. Fathima· 1 shared A. Keita· 1 shared A. P. Brown· 1 shared

Activity by Year

2017-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMicrobiology

O. Restif

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Immunocompetent Cell Targeting by Food-Additive Titanium Dioxide

J. W. Wills, A. Dabrowska, J. Robertson, M. Miniter, S. Riedle, H. Summers, R. Hewitt, A. Fathima, A. Barreto da Silva, C. Bastos, S. Micklethwaite, A. Keita, J. Soderholm, N. Roy, D. Otter, , J. J. Powell

This study identifies immunocompetent cells that accumulate food-grade titanium dioxide in vivo and demonstrates a mouse model for assessing human-relevant risks of ingested nanoparticles.

bioRxiv · Apr 16, 2024Pharmacology & Toxicology

An Efficient Moments-Based Inference Method for Within-Host Bacterial Infection Dynamics

D. Price, A. Breuze, R. Dybowski, P. Mastroeni, O. Restif

This paper introduces an efficient moments-based method for inferring parameters of stochastic models of within-host bacterial infection dynamics, showing improved goodness-of-fit compared to maximum likelihood estimation.

bioRxiv · Aug 4, 2017Microbiology

Inferring Within-Host Bottleneck Size: A Bayesian Approach

R. Dybowski, O. Restif, D. J. Price, P. Mastroeni

The paper compares Bayesian methods for estimating within-host bacterial bottleneck size using different data scenarios and introduces a sampling approach.

bioRxiv · Mar 13, 2017Microbiology