Domink G Grimm

14PUBLICATIONS
34CO-AUTHORS
Computational statisticsSemi- and unsupervised learningGene expression (incl. microarray and other genome-wide approaches)Agricultural systems analysis and modellingAdversarial machine learning
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Publications (14)

|Dec 16, 2024
Population-aware permutation-based significance thresholds for genome-wide association studies.

Maura John, Arthur Korte, Marco Todesco

|Aug 09, 2024
Guiding questions to avoid data leakage in biological machine learning applications.

Judith Bernett, David B Blumenthal, Dominik G Grimm

|Jul 02, 2024
The benefits of permutation-based genome-wide association studies.

Maura John, Arthur Korte, Dominik G Grimm

|Jan 23, 2024
Manually annotated and curated Dataset of diverse Weed Species in Maize and Sorghum for Computer Vision.

Nikita Genze, Wouter K Vahl, Jennifer Groth

|Nov 28, 2023
Combining machine learning and optimization for the operational patient-bed assignment problem.

Fabian Schäfer, Manuel Walther, Dominik G Grimm

|Oct 13, 2023
Superior protein thermophilicity prediction with protein language model embeddings.

Florian Haselbeck, Maura John, Yuqi Zhang

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