Author

Brendan Swain

ORCID 0000-0001-9924-9284Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Francis LeblanciD· 2 shared Gabriel MejiaiD· 2 shared Henry E. MilleriD· 2 shared Lucas Paulo de Lima CamilloiD· 2 shared Adam BendalliD· 1 shared Adam Pickles· 1 shared Alexander E. EpsteiniD· 1 shared Andreas Welsh· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Francis LeblancORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 20, 2025

Deep Learning-Based Genetic Perturbation Models Do Outperform Uninformative Baselines on Well-Calibrated Metrics

Henry E. Miller, Gabriel Mejia, Francis Leblanc…·Lucas Paulo de Lima Camillo

This paper shows deep learning models outperform baselines when using well-calibrated metrics for genetic perturbation prediction.

6 citations

deep learningbenchmarking

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Cell BiologybioRxivPreprintJun 5, 2025

A single factor for safer cellular rejuvenation

Lucas Paulo de Lima Camillo, Rihab Gam, Katsiaryna Maskalenka…·Brendan Swain

This paper identifies SB000, a single gene factor that rejuvenates cells from multiple germ layers without inducing pluripotency, rivaling the effectiveness of Yamanaka factors.

5 citations

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