Author

Rachel C. Johnson

NOAA National Marine Fisheries ServiceORCID 0000-0002-9408-4924Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Ecology· 1

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Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Anna M. SturrockiD· 1 shared Kohma AraiiD· 1 shared Malte WillmesiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperEcology

Anna M. SturrockORCID

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1 paper

Recent·Most cited

EcologyEcological InformaticsPeer-reviewedJan 8, 2026

Advancing Provenance Assignment using Machine Learning and Time Series Analysis of Chemical Chronologies in Archival Tissues

Kohma Arai, Malte Willmes, Rachel C. Johnson, Anna M. Sturrock

This paper develops a machine learning framework for improving provenance assignment from archival tissue chemistry by treating chemical chronologies as time series and using ensemble models.

4 citationstop 2%

mousemetabolomics