Author

Dotun Olaoye

University of Missouri

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· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Ainong ShiiD· 1 shared Babatunde Abass KareemiD· 1 shared Laide Abbas RasakiiD· 1 shared Olamide Adesina· 1 shared Shyam L. KandeliD· 1 shared Waltram RavelombolaiD· 1 shared Yufeng YangiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperGenetics

Ainong ShiORCID

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1 paper

Recent·Most cited

RNA-seq meta-analysis and machine learning identify stress-responsive genes and improve genomic prediction in common bean (Phaseolus vulgaris L.) with cross-species application in cowpea (Vigna unguiculata L.)

Dotun Olaoye, Laide Abbas Rasaki, Olamide Adesina, Babatunde Abass Kareem, Shyam L. Kandel, Waltram Ravelombola, Yufeng Yang, Ainong Shi

The paper uses RNA-seq meta-analysis and machine learning to identify stress-responsive genes in common bean and improves genomic prediction for disease resistance and abiotic stress tolerance in both common bean and cowpea.

bioRxiv · Aug 12, 2026 · PreprintGenetics