Author

Helmut Kuechenhoff

Ludwig-Maximilians-Universität München

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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Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Caroline BrandliD· 1 shared Felix GüntheriD· 1 shared Iris M. HeidiD· 1 shared Klaus J. StarkiD· 1 shared Thomas W. WinkleriD· 1 shared Veronika Wanner· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperGenetics

Caroline BrandlORCID

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1 paper

Recent·Most cited

Chances and challenges of machine learning based disease classification in genetic association studies illustrated on age-related macular degeneration

Felix Günther, Caroline Brandl, Thomas W. Winkler, Veronika Wanner, Klaus J. Stark, Helmut Kuechenhoff, Iris M. Heid

The paper applies machine learning to classify age-related macular degeneration in GWAS, showing how misclassification can be addressed to identify true genetic associations.

Genetic Epidemiology · Aug 2, 2020Peer-reviewedGenetics