Author

Glory Jayeoba

Chinhoyi University of Technology

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:DNA methylation· 1 Organism:human· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

David EnomaiD· 1 shared Lawrence Afolabi· 1 shared Marie HidjoiD· 1 shared Olaitan Igbagbo AweiD· 1 shared Pageneck ChikondowaiD· 1 shared Vincent Aketch NyangwaraiD· 1 shared Zedias ChikwambiiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

David EnomaORCID

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1 paper

Recent·Most cited

Multi-omics data integration approach identifies potential biomarkers for Prostate cancer

Zedias Chikwambi, Marie Hidjo, Pageneck Chikondowa, Glory Jayeoba, Vincent Aketch Nyangwara, Lawrence Afolabi, Olaitan Igbagbo Awe, David Enoma

This study integrates multi-omics data to identify potential biomarkers for prostate cancer by analyzing genomic, transcriptomic, and metabolomic datasets from diverse populations.

bioRxiv · Jan 26, 2023 · PreprintBioinformatics