Author

James A. Diao

Brigham and Women's HospitalORCID 0000-0002-6134-4339Unclaimed 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:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1

Frequent Co-Authors

Abhik Lahiri· 1 shared Aditya Khosla· 1 shared Alicia R. MartiniD· 1 shared Amaro N Taylor-WeineriD· 1 shared Andrew H. BeckiD· 1 shared Benjamin GlassiD· 1 shared Bogdan PaşaniuciD· 1 shared Chirag J. PateliD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Abhik Lahiri

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2 papers

Recent·Most cited

Genetic & Genomic MedicineNature GeneticsPeer-reviewedJan 21, 2026

Multi-trait and multi-ancestry genetic analysis of comorbid lung diseases and traits improves genetic discovery and polygenic risk prediction

Yixuan He, Wenhan Lu, Yon Ho Jee…·Alicia R. Martin

This paper improves genetic discovery and polygenic risk prediction for respiratory diseases by analyzing multiple traits and ancestries, identifying novel loci and developing a new polygenic risk score method.

2 citationstop 4%

humanGWAS summary statistics

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BioinformaticsbioRxivPreprintAug 2, 2020

Dense, high-resolution mapping of cells and tissues from pathology images for the interpretable prediction of molecular phenotypes in cancer

James A. Diao, Wan Fung Chui, Jason K. Wang…·Hunter L. Elliott

This paper develops a method to predict molecular phenotypes from cancer pathology images using interpretable features, showing correlations with tumor microenvironment markers and predictive power for molecular signatures.

11 citations

humanimaging

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