Author

Brad Feiger

SimBiotic Software (United States)

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

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alexander T. PearsoniD· 1 shared Charles M. PerouiD· 1 shared Cheng FaniD· 1 shared Frederick Matthew HowardiD· 1 shared Galina F. KhramtsovaiD· 1 shared Hanna M. HieromnimoniD· 1 shared James M. DolezaliD· 1 shared Jasmine VickeryiD· 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 paperCancer Biology

Alexander T. PearsonORCID

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1 paper

Recent·Most cited

Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features

Frederick Matthew Howard, Hanna M. Hieromnimon, Siddhi Ramesh, James M. Dolezal, Sara E. Kochanny, Qianchen Zhang, Brad Feiger, Joseph Peterson, Cheng Fan, Charles M. Perou, Jasmine Vickery, Megan Sullivan, Kimberly Cole, Galina F. Khramtsova, Alexander T. Pearson

This paper introduces HistoXGAN, a GAN that reconstructs cancer histology from latent features, showing it retains tumor grade, histologic subtype, and gene expression patterns across 29 cancer types.

Science Advances · Nov 15, 2024Peer-reviewedCancer Biology