Author

Priscila Campos dos Santos Coelho

University of MiamiORCID 0000-0001-8554-1209Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Ayodele J. OmotosoiD· 1 shared Bassem Ben Cheikh· 1 shared Carmen Gómez· 1 shared Destiny B. BurnettiD· 1 shared Felipe Segato DezemiD· 1 shared Giang Ong· 1 shared Jasmine PlummeriD· 1 shared Judith Hurley· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Ayodele J. OmotosoORCID

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1 paper

Recent·Most cited

A Machine Learning One-Class Logistic Regression Model to Predict Stemness in Single Cell Transcriptomics and Spatial Omics Datasets

Felipe Segato Dezem, Maycon Marção, Bassem Ben Cheikh, Nadya Nikulina, Ayodele J. Omotoso, Destiny B. Burnett, Priscila Campos dos Santos Coelho, Simone Badal, Judith Hurley, Carmen Gómez, Tien Phan-Everson, Giang Ong, Luciano Gastón Martelotto, Zachary R. Lewis, Sophia George, , Jasmine Plummer

The paper applies a one-class logistic regression model to predict stemness in single-cell and spatial omics datasets without requiring cell annotation.

BMC Genomics · Nov 28, 2023Peer-reviewedGenomics