Author

Abdel Rahman Alsabbagh

University of JordanORCID 0009-0003-2777-732XUnclaimed 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:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:imputation· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Alberto MailloiD· 1 shared David Gómez-CabreroiD· 1 shared Jesper N. TegneriD· 1 shared Narsis A. KianiiD· 1 shared Sameer Ahmad KhaniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Alberto MailloORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 24, 2023

Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type Annotations

Abdel Rahman Alsabbagh, Alberto Maillo, David Gómez-Cabrero…·Jesper N. Tegner

This study evaluates how single-cell foundation models handle imbalanced cell-type data and finds that scGPT and scBERT outperform Geneformer, with random oversampling improving performance.

22 citations

scRNA-seqdeep learning

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