Author

D. Eickholt

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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Plant Biology· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1 Organism:zebrafish· 1

Frequent Co-Authors

A. Gilbert· 2 shared A. Waters· 2 shared C. Hirsch· 2 shared J. Renk· 2 shared M. Yandeau-Nelson· 2 shared N. Anderson· 2 shared S. Flint-Garcia· 2 shared T. Hattery· 2 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersPlant Biology

A. Gilbert

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2 papers

Recent·Most cited

Predicting Moisture Content During Maize Nixtamalization Using Machine Learning with NIR Spectroscopy

M. Burns, J. Renk, D. Eickholt, A. Gilbert, T. Hattery, M. Holmes, N. Anderson, A. Waters, S. Kalambur, S. Flint-Garcia, M. Yandeau-Nelson, G. Annor, C. Hirsch

This study uses machine learning with NIR spectroscopy to predict maize kernel moisture content during nixtamalization, finding environmental factors and complex genetics influence the trait.

bioRxiv · May 19, 2021Plant Biology

Genetic Architecture of Kernel Compositional Variation in a Maize Diversity Panel

J. Renk, A. Gilbert, T. Hattery, C. O'Connor, P. Monnahan, N. Anderson, A. Waters, D. Eickholt, S. Flint-Garcia, M. Yandeau-Nelson, C. Hirsch

This study identifies genetic loci associated with compositional traits in maize using GWAS, revealing significant genetic and environmental influences on grain quality.

bioRxiv · Mar 29, 2021Plant Biology