Author

Dana V. Mitchell

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Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Aime T. FrancoiD· 1 shared Eric K. WafulaiD· 1 shared Erin Renée ReichenbergeriD· 1 shared Julio C. Ricarte‐FilhoiD· 1 shared Katherine BeigeliD· 1 shared Michelle N. GongiD· 1 shared Robert O. HeuckerothiD· 1 shared Steven J. PastoriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Aime T. FrancoORCID

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1 paper

Recent·Most cited

SWANS: A highly configurable analysis pipeline for single-cell and single-nuclei RNA-sequencing data

Katherine Beigel, Eric K. Wafula, Dana V. Mitchell, Steven J. Pastor, Michelle N. Gong, Robert O. Heuckeroth, Julio C. Ricarte‐Filho, Aime T. Franco, Erin Renée Reichenberger

SWANS is a configurable scRNA-seq analysis pipeline that integrates multiple methods and generates interactive reports for data visualization and comparison.

bioRxiv · May 14, 2025 · PreprintBioinformatics