Author

Marie‐Joe Dib

Hospital of the University of PennsylvaniaORCID 0000-0001-7591-5684Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:drug response / drug discovery· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Bingxin ZhaoiD· 1 shared Cameron BeecheiD· 1 shared Dervis A. M. SalihiD· 1 shared Emily SimmondsiD· 1 shared Fiona DucotterdiD· 1 shared Guillermo Comesana CimadevilaiD· 1 shared Hamed TavolinejadiD· 1 shared Hannah MaynardiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Bingxin ZhaoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 8, 2026

drugMR: A multi-omics pipeline for genetically anchored drug-target discovery

Guillermo Comesana Cimadevila, Marie‐Joe Dib, Matthew Bracher‐Smith…·Valentina Escott‐Price

drugMR uses multi-omics data to identify potential drug targets and adverse effects by integrating GWAS and pQTL statistics with various statistical methods.

DOI 10.64898/2026.10.01.756031

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsPulsePeer-reviewedJan 27, 2025

Thoracic Aortic Three-Dimensional Geometry

Cameron Beeche, Marie‐Joe Dib, Bingxin Zhao…·Julio A. Chirinos

The paper develops a deep learning method to quantify 3D aortic geometry in large biobanks, expanding available phenotypes for studying aortic degeneration.

6 citations

humanimaging

𝕏 PostBluesky