Author

Cannon Lock

Morgridge Institute for Research

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· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:large language model· 2 Approach:statistical model· 1

Frequent Co-Authors

Robert J. MillikiniD· 3 shared Ron M. StewartiD· 3 shared Aviral Bal· 2 shared Chitrasen MohantyiD· 2 shared Jack FreemaniD· 2 shared Bethany B. MooreiD· 1 shared Bethany M. MooreiD· 1 shared Brian BockelmaniD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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3 shared papersBioinformatics

Robert J. MillikinORCID

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3 papers

Recent·Most cited

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

SKiM-GPT: Combining Biomedical Literature-Based Discovery with Large Language Model Hypothesis Evaluation

Jack Freeman, Robert J. Millikin, Liang Xu, Ishaan Sharma, Bethany B. Moore, Cannon Lock, Kevin Shine George, Aviral Bal, Chitrasen Mohanty, Ron M. Stewart

SKiM-GPT evaluates biomedical hypotheses by combining literature-based discovery with large language models to assess hypothesis validity using retrieved PubMed abstracts.

BMC Bioinformatics · Dec 17, 2025Peer-reviewedBioinformatics

Serial KinderMiner (SKiM) Discovers and Annotates Biomedical Knowledge Using Co-Occurrence and Transformer Models

Robert J. Millikin, Kalpana Raja, John Steill, Cannon Lock, Xuancheng Tu, Ian Ross, Lam C. Tsoi, Finn Kuusisto, Zijian Ni, Miron Livny, Brian Bockelman, James Livingston Thomson, Ron M. Stewart

SKiM discovers and annotates biomedical knowledge using co-occurrence and transformer models to find A-B-C relationships between user-defined concepts.

BMC Bioinformatics · Nov 1, 2023Peer-reviewedBioinformatics