Author

Allison Meisner

Fred Hutch Cancer CenterORCID 0000-0001-5177-7635Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Brennan Geti SimoniD· 1 shared Cansu KarakaşiD· 1 shared Christina N. CurtisiD· 1 shared Clemens L. WeißiD· 1 shared Corey Wayne SpeersiD· 1 shared Darren ChaniD· 1 shared Gregory R. BeaniD· 1 shared James Michael RaeiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Brennan Geti SimonORCID

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2 papers

Recent·Most cited

Generative AI Enables Breast Cancer Genomic Subtype Prediction from Histology Images

Brennan Geti Simon, Clemens L. Weiß, Darren Chan, Lise Mangiante, Zhicheng Ma, Nicholas H. Smith, Allison Meisner, James Michael Rae, Corey Wayne Speers, Kathy S. Albain, Cansu Karakaş, Gregory R. Bean, Silvana Andrea Mouron, Miguel Quintela-Fandiño, Christina N. Curtis

PATH-IC uses generative AI to predict breast cancer genomic subtypes from histology images, achieving high accuracy and correlating with clinical outcomes.

bioRxiv · Dec 29, 2025 · PreprintCancer Biology

Case-only analysis of gene-environment interactions using polygenic risk scores

Allison Meisner, Prosenjit Kundu, Nilanjan Chatterjee

The paper proposes a case-only method to analyze gene-environment interactions using polygenic risk scores in case-control studies, showing efficiency gains over logistic regression.

American Journal of Epidemiology · Aug 1, 2019Peer-reviewedGenetics