Author

Joseph B. Hiatt

Fred Hutch Cancer CenterORCID 0000-0002-8050-5310Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Patrick McDeediD· 1 shared Aditya Pawar· 1 shared Akira Nair· 1 shared Alexander Netzley· 1 shared Alireza GhodsiiD· 1 shared Amir IravaniiD· 1 shared Andrew Caleb HsiehiD· 1 shared Colm M. MorrisseyiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

A. Patrick McDeedORCID

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Author profile →

1 paper

Recent·Most cited

Gene expression inference from cell-free DNA using uncertainty-aware deep learning

Robert D. Patton, A. Patrick McDeed, Alexander Netzley, Aditya Pawar, Thomas W. Persse, Akira Nair, Patricia C. Galipeau, Ilsa M. Coleman, Pushpa Itagi, Pooja Chandra, Erolcan Sayar, Mohamed Adil, Manasvita Vashisth, Joseph B. Hiatt, Ruth F. Dumpit, , Gavin Ha

This paper develops a deep learning framework to infer gene expression from cell-free DNA, improving reliability and enabling functional genomics in precision oncology.

bioRxiv · Aug 28, 2026 · PreprintBioinformatics