Author

W. Armand Guiguemde

ORCID 0000-0003-3004-0217Unclaimed 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 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Bin FangiD· 1 shared Éric MartiniD· 1 shared Frederick J. KingiD· 1 shared Guray KuzuiD· 1 shared Jeremy L. JenkinsiD· 1 shared Luying Pei· 1 shared Peter Skewes-CoxiD· 1 shared Vladimir TrifonoviD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Bin FangORCID

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1 paper

Recent·Most cited

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

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