Author

Márton Pécs

National Food Chain Safety OfficeORCID 0009-0007-5080-9464Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 1

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anurag DawareiD· 1 shared Arnaud RemayiD· 1 shared Cécile CollonnieriD· 1 shared Christina Schraml· 1 shared Clemens HackeiD· 1 shared François N. D. LaurensiD· 1 shared Karl SchmidiD· 1 shared Philipp Starnberger· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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8 top collaborators · 28 mutual co-author links

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1 shared paperGenetics

Anurag DawareORCID

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1 paper

Recent·Most cited

GeneticsbioRxivPreprintJun 12, 2026

Leveraging genome-wide association studies and genomic prediction for distinctness, uniformity, and stability (DUS) testing in maize

Anurag Daware, Clemens Hacke, Márton Pécs…·Karl Schmid

The paper uses GWAS and machine learning to develop molecular markers and a genomic prediction framework for improving maize DUS testing using historical data.

DOI 10.64898/2026.06.10.731330

whole-genome sequencingstatistical model

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