Author

Haley M. Beckmann

ORCID 0009-0001-6310-374XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Assay:scRNA-seq· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Adi SteifiD· 1 shared Glenn ChangiD· 1 shared Michelle TongiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Adi SteifORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintDec 16, 2025

Deep learning inference of universal dormancy pseudotime reveals the cellular targets of anti-cancer therapies

Haley M. Beckmann, Michelle Tong, Glenn Chang, Adi Steif

The paper introduces a deep learning model to infer dormancy pseudotime from single-cell transcriptomic data, revealing how anti-cancer therapies affect tumour cell dormancy states.

DOI 10.64898/2025.12.14.692655

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