Author

Cathy C. Westhues

University of Göttingen

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· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:metagenomics· 1 Organism:plant (other)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Timothy M. BeissingeriD· 2 shared Dietrich Kaufmann· 1 shared Ginnie D. Morrison· 1 shared Henner SimianeriD· 1 shared Jochen BlomiD· 1 shared Michelle Hagen· 1 shared Mila Leonie TostiD· 1 shared Rupashree DassiD· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersGenetics

Timothy M. BeissingerORCID

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Author profile →

3 papers

Recent·Most cited

Interpretable Machine Learning Decodes Soil Microbiome's Response to Drought Stress

Michelle Hagen, Rupashree Dass, Cathy C. Westhues, Jochen Blom, Sebastian J. Schultheiß, Sascha Patz

This paper uses interpretable machine learning to predict drought stress in soil metagenomes with high accuracy by identifying marker taxa.

Environmental Microbiome · May 29, 2024Peer-reviewedBioinformatics

Experimental evolution in maize with replicated divergent selection identifies plant-height associated SNPs

Mila Leonie Tost, Cathy C. Westhues, Ginnie D. Morrison, Dietrich Kaufmann, Timothy M. Beissinger

This study uses replicated divergent selection in maize to identify plant-height associated SNPs by applying a false discovery rate method to detect selection signals.

bioRxiv · Feb 26, 2024 · PreprintGenetics

learnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data

Cathy C. Westhues, Henner Simianer, Timothy M. Beissinger

learnMET is an R package that uses machine learning to predict genomic traits from multi-environment trial data by integrating genomic and environmental factors.

G3 Genes Genomes Genetics · Sep 19, 2022Peer-reviewedGenetics