Author

Frederick J. King

ORCID 0000-0001-5958-5451Unclaimed 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 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Guray KuzuiD· 2 shared Andrew S. HaganiD· 1 shared Bao Nguyen· 1 shared Bin FangiD· 1 shared Bin FangiD· 1 shared Brandon L. Taylor· 1 shared Casey J. N. MathisoniD· 1 shared Dean P. PhillipsiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCell Biology

Guray KuzuORCID

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2 papers

Recent·Most cited

Cell BiologyCommunications BiologyPeer-reviewedJul 9, 2025

AHR activation accelerates the resolution of TGF-β1 induced fibroblast activation and promotes alveolar type 1 cell regeneration in alveolar organoids

Andrew S. Hagan, Scott Williams, Casey J. N. Mathison…·Rebekah S. Decker

The paper identifies DB-11-BE87 as a compound that promotes AT1 cell regeneration by reducing TGF-β1-induced fibroblast activation through AHR activation in alveolar organoids.

12 citationstop 2%

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedJan 31, 2024

Compound activity prediction with dose-dependent transcriptomic profiles and deep learning

William J. Godinez, Vladimir Trifonov, Bin Fang…·Peter Skewes-Cox

The paper introduces TAT models to predict compound activity using dose-dependent transcriptomic profiles, achieving 51% assay prediction success and validating malaria inhibitor identification.

7 citations

bulk RNA-seqdeep learning

𝕏 PostBluesky