Author

Tara-Lyn Camilleri-Carter

Monash UniversityORCID 0000-0003-2489-3598Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A Pozzi· 1 shared Alana Brown· 1 shared Biliana TodorovaiD· 1 shared Carlo RaffoneiD· 1 shared Irem SepiliD· 1 shared Krish SanghviiD· 1 shared Maria Giovanna BelcastroiD· 1 shared Martin Thomas JahniD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

A Pozzi

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2 papers

Recent·Most cited

Evolutionary BiologyEvolution LettersPeer-reviewedDec 18, 2024

Reproductive output of old polygynous males is limited by seminal fluid, not sperm number

Krish Sanghvi, Sucheta Shandilya, Alana Brown…·Irem Sepil

This study shows that reproductive decline in old polygynous males is due to seminal fluid limitations, not sperm number, using Drosophila melanogaster.

20 citationstop 1%

Drosophilaexperimental assay

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BioinformaticsbioRxivPreprintApr 30, 2020

Sex estimation in cranial remains: A comparison of machine learning and discriminant analysis in Italian populations

A Pozzi, Carlo Raffone, Maria Giovanna Belcastro, Tara-Lyn Camilleri-Carter

The paper compares machine learning and discriminant analysis for sex estimation in Italian cranial remains, finding similar accuracy but population-specific results.

1 citation

humanimaging

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