Author

Kyle A. Parmley

Iowa State University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:machine learning (classical)· 1 Organism:plant (other)· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aaron Joel LorenziD· 1 shared Asheesh Kumar SinghiD· 1 shared Baskar GanapathysubramanianiD· 1 shared Hernan Torres PaciniD· 1 shared Liza Van der LaaniD· 1 shared Mojdeh SaadatiiD· 1 shared Soumik SarkariD· 1 shared Srikanth PanthulugiriiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPlant Biology

Aaron Joel LorenzORCID

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1 paper

Recent·Most cited

Genomic and Phenomic Prediction for Soybean Seed Yield, Protein, and Oil

Liza Van der Laan, Kyle A. Parmley, Mojdeh Saadati, Hernan Torres Pacin, Srikanth Panthulugiri, Soumik Sarkar, Baskar Ganapathysubramanian, Aaron Joel Lorenz, Asheesh Kumar Singh

This paper compares genomic and phenomic prediction for soybean seed yield, protein, and oil content, finding phenomic prediction outperforms genomic for yield while genomic is better for protein and oil.

The Plant Genome · Feb 19, 2025Peer-reviewedPlant Biology