Author

Megan E. Spurgeon

University of Wisconsin–MadisonORCID 0000-0002-9753-6615Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:large language model· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

A. NguyeniD· 1 shared Ahmed DiabiD· 1 shared Andreas WielandiD· 1 shared Anthony C. FaberiD· 1 shared Apurva Tadimari PrabhakariD· 1 shared Austin J. Witt· 1 shared Aviral Bal· 1 shared Bethany M. MooreiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

A. NguyenORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

E2 displacement of CIP2A from TOPBP1 activates the DNA damage response during papillomavirus life cycles

Apurva Tadimari Prabhakar, Claire D. James, A. Nguyen, Phoebe V. Bridy, Xu Wang, Ryan J. Zoldork, Jenny D Roe, Austin J. Witt, Srimanya S. Panidepu, Sarita Giri, Molly L. Bristol, Krista Dalton, Andreas Wieland, Ahmed Diab, Anthony C. Faber, , Iain M. Morgan

This paper shows E2 activates the DNA damage response by displacing CIP2A from TOPBP1, promoting viral replication and cell proliferation through ATM activation and ATR inhibition.

Cell Reports · Oct 26, 2026Peer-reviewedCancer Biology

Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis

Bethany M. Moore, Jack Freeman, Robert J. Millikin, Chitrasen Mohanty, Kevin W. George, Aviral Bal, Cannon Lock, John‐Demian Sauer, Megan E. Spurgeon, Darcie L. Moore, Brittany G. Travers, Ron M. Stewart

This paper introduces KM-GPT-DCH, a method using LLMs and Bayesian analysis to evaluate and compare biomedical hypotheses by analyzing scientific literature.

bioRxiv · Jun 7, 2026 · PreprintBioinformatics