Author

Priscila Camillo Teixeira

F. Hoffmann-La Roche AGORCID 0000-0002-9698-4563Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Fabien Richard· 1 shared José Duarte· 1 shared Raul Rodriguez‐EstebaniD· 1 shared Svetlana Koltsova· 1 shared W. Venus So· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperMolecular Biology

Fabien Richard

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1 paper

Recent·Most cited

Molecular BiologyCytometry Part B Clinical CytometryPeer-reviewedMar 7, 2022

Prediction of standard cell types and functional markers from flow cytometry gating definitions using machine learning

Raul Rodriguez‐Esteban, José Duarte, Priscila Camillo Teixeira…·W. Venus So

This paper uses machine learning to predict cell types and functional markers from flow cytometry gating definitions, achieving high accuracy with manual validation.

3 citations

machine learning (classical)cell type annotation

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