Author

Noah Klimkowski Arango

Clemson University

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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Genetic & Genomic Medicine· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Organism:Drosophila· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Fabio MorganteiD· 2 shared Francesco TiezziiD· 1 shared Khushi GodaiD· 1 shared Trudy F. C. MackayiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Fabio MorganteORCID

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2 papers

Recent·Most cited

Gene-environment interactions contribute to blood pressure variation across global populations

Khushi Goda, Noah Klimkowski Arango, Francesco Tiezzi, Trudy F. C. Mackay, Fabio Morgante

The paper evaluates gene-environment interactions in blood pressure traits across diverse populations and finds they explain additional variance, though they do not improve prediction accuracy.

Human Genetics and Genomics Advances · Jul 24, 2026Peer-reviewedGenetic & Genomic Medicine

Comparing statistical learning methods for complex trait prediction from gene expression

Noah Klimkowski Arango, Fabio Morgante

The paper compares statistical learning methods for predicting complex traits from gene expression in Drosophila, finding method-specific accuracy differences and improved performance with functional annotations.

PLoS ONE · Feb 11, 2025Peer-reviewedGenetics