Author

Jade Zhang

University of Toronto

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Amy Pan· 1 shared Bhooma Thiruvahindrapura· 1 shared Bushra HaqueiD· 1 shared Celine Salhab· 1 shared David CheerieiD· 1 shared David M. MalkiniD· 1 shared Emily M. PriceiD· 1 shared Frederick P. RothiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Amy Pan

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1 paper

Recent·Most cited

Leveraging cancer mutation data to predict the pathogenicity of germline missense variants

Bushra Haque, David Cheerie, Amy Pan, Meredith Curtis, Thomas Nalpathamkalam, Jimmy Nguyen, Celine Salhab, Bhooma Thiruvahindrapura, Jade Zhang, Madeline Couse, Taila Hartley, Michelle M. Morrow, Emily M. Price, Susan Walker, David M. Malkin, , Gregory Costain

This study uses cancer mutation data and machine learning to predict the pathogenicity of germline missense variants, showing strong performance in identifying disease-causing variants.

medRxiv · Mar 11, 2024 · PreprintGenetic & Genomic Medicine