Author

Henry Chubb

Stanford MedicineORCID 0000-0002-2859-3536Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Andrew B. StergachisiD· 1 shared Andrew Michael GlazeriD· 1 shared Ayesha MuhammadiD· 1 shared Brendan J. FloydiD· 1 shared Chai‐Ann NgiD· 1 shared Christopher RéiD· 1 shared Dan M. RodeniD· 1 shared Ebony RichardsoniD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Andrew B. StergachisORCID

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Author profile →

2 papers

Recent·Most cited

Multi-site validation of a functional assay to adjudicate SCN5A Brugada Syndrome-associated variants

Joanne G. Ma, Matthew J. O’Neill, Ebony Richardson, Kate L. Thomson, Jodie Ingles, Ayesha Muhammad, Joseph F. Solus, Giovanni Davogustto, Katherine C. Anderson, Moore Benjamin Shoemaker, Andrew B. Stergachis, Brendan J. Floyd, Kyla E. Dunn, Victoria Nicole Parikh, Henry Chubb, , Andrew Michael Glazer

The paper validates an in vitro SCN5A Brugada Syndrome assay to reclassify variants of uncertain significance as pathogenic or benign.

Circulation Genomic and Precision Medicine · Jul 2, 2024Peer-reviewedGenetic & Genomic Medicine

Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences

Jason Fries, Paroma Varma, Vincent S. Chen, Ke Xiao, Heliodoro Tejeda, Priyanka Saha, Jared Dunnmon, Henry Chubb, Shiraz Arif Maskatia, Madalina Fiterau, Scott L. Delp, Euan Angus Ashley, Christopher Ré, James Rush Priest

This paper develops a weakly supervised deep learning model to classify aortic valve malformations using unlabeled cardiac MRI sequences, showing improved performance over supervised models.

Nature Communications · Jul 15, 2019Peer-reviewedBioinformatics