Author

John Park

Boehringer Ingelheim (Germany)

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 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:batch correction / integration· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin StrobeliD· 1 shared Christian Schön· 1 shared David Ernest JamesiD· 1 shared Gemma Alexandra FigtreeiD· 1 shared Jean Yee Hwa YangiD· 1 shared John O’SullivaniD· 1 shared Katharine A. KottiD· 1 shared Martin OtiiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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Curved chords = mutual co-authorship

1 shared paperGenomics

Benjamin StrobelORCID

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Author profile →

2 papers

Recent·Most cited

STARR-CRAAVT: A platform to design cell type-specific regulatory elements for next-generation gene therapy

Robert Becker, Priyanka Choudhury, Martin Oti, Youssef Fouani, Benjamin Strobel, Stephanie Ketterer, Simon Rumpel, John Park, Sebastian Kreuz, Udo Maier, Stefan Michelfelder, Christian Schön

This study introduces STARR-CRAAVT, a platform to identify cell type-specific enhancers for gene therapy, showing promoter preference and enhancer positioning significantly affect activity.

bioRxiv · Jun 4, 2025 · PreprintGenomics

hRUV: Hierarchical approach to removal of unwanted variation for large-scale metabolomics data

Tai-Yun Kim, Owen Tang, Stephen Thomas Vernon, Katharine A. Kott, Yen Chin Koay, John Park, David Ernest James, Stuart M. Grieve, Terence Paul Speed, Pengyi Yang, Gemma Alexandra Figtree, John O’Sullivan, Jean Yee Hwa Yang

The paper introduces hRUV, a hierarchical method to remove unwanted variation in large-scale metabolomics data, showing improved preservation of biological signals.

Nature Communications · Aug 17, 2021Peer-reviewedBioinformatics