Author

Alexandra Franz

Broad Institute

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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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:proteomics· 1

Frequent Co-Authors

Chris SanderiD· 2 shared Alexander Chowdhury· 1 shared Amalie Dahl HaueiD· 1 shared Anil KorkutiD· 1 shared Augustin LunaiD· 1 shared Aviv RegeviD· 1 shared Bo YuaniD· 1 shared Brian Matthew WolpiniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersCancer Biology

Chris SanderORCID

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2 papers

Recent·Most cited

Design of combination therapeutics from protein response to drugs in ovarian cancer cells

Alexandra Franz, Ciyue Shen, Fabian Coscia, Kenneth J. Munroe, Lea Charaoui, Anil Korkut, Matthias Mann, Augustin Luna, Chris Sander

The paper uses protein mass spectrometry to analyze drug responses in ovarian cancer cells, identifies resistance mechanisms, and proposes drug combinations and single agents to overcome resistance.

bioRxiv · Apr 28, 2025 · PreprintCancer Biology

Pancreatic cancer risk predicted from disease trajectories using deep learning

Davide Placido, Bo Yuan, Jessica Xin Hjaltelin, Chunlei Zheng, Amalie Dahl Haue, Piotr Jaroslaw Chmura, Chen Yuan, Jihye Kim, Renato Umeton, Gregory C. Antell, Alexander Chowdhury, Alexandra Franz, Lauren K. Brais, Elizabeth Andrews, Debora S. Marks, , Chris Sander

This paper uses deep learning to predict pancreatic cancer risk from clinical disease trajectories in two large datasets, achieving higher accuracy than models without temporal information.

bioRxiv · Jun 27, 2021 · PreprintBioinformatics