Author

Nosayaba Osazuwa‐Peters

Duke UniversityORCID 0000-0002-1390-9753Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Baiming ZouiD· 1 shared C. CourtineiD· 1 shared D. WuiD· 1 shared Fidelis E Eki-UdokoiD· 1 shared Jia LiuiD· 1 shared Modupe Oluseun CokeriD· 1 shared Nicolas F. SchlechtiD· 1 shared Nosakhare Lawrence IdemudiaiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Baiming ZouORCID

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2 papers

Recent·Most cited

Whole Metagenome Sequencing: not Deep Enough for Complete Microbial Function Recovery

Jia Liu, Modupe Oluseun Coker, Nosayaba Osazuwa‐Peters, Oluwaseun Peter, Nosakhare Lawrence Idemudia, Nicolas F. Schlecht, Ozoemene Ndubuisi Obuekwe, Fidelis E Eki-Udoko, Yana Bromberg

The paper evaluates how technical factors and batch effects influence functional recovery in whole metagenome sequencing studies using oral-rinse data from Nigerian youths.

Microbiome · Jun 25, 2026Peer-reviewedBioinformatics

GARD: Genomic Data based Drug Repurposing in Head and Neck Cancer with Large Language Model Validation

Pradham Tanikella, W. C. Nenad, C. Courtine, Yifan Dai, Qingying Deng, Baiming Zou, Nosayaba Osazuwa‐Peters, Travis Parke Schrank, D. Wu

The paper develops GARD, a pipeline using genomic data and large language models to identify drug repurposing candidates for head and neck cancer, finding both known and emerging therapeutic options.

Cancers · Feb 26, 2026Peer-reviewedBioinformatics