Author

Modupe Oluseun Coker

Rutgers, The State University of New JerseyORCID 0000-0002-9072-7953Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:metagenomics· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anne Gatewood HoeniD· 1 shared Fidelis E Eki-UdokoiD· 1 shared Haobin CheniD· 1 shared Jia LiuiD· 1 shared Jiang GuiiD· 1 shared Jie Ming ZhouiD· 1 shared Juliette C. MadaniD· 1 shared Nicolas F. SchlechtiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Anne Gatewood HoenORCID

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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

Identifying Microbial Interaction Networks Based on Irregularly Spaced Longitudinal 16S rRNA sequence data

Jie Ming Zhou, Jiang Gui, Weston D. Viles, Haobin Chen, Juliette C. Madan, Modupe Oluseun Coker, Anne Gatewood Hoen

The paper proposes a stationary Gaussian graphical model for microbial interaction networks using longitudinal 16S rRNA data and shows it outperforms conventional methods in correlated settings.

bioRxiv · Nov 26, 2021 · PreprintBioinformatics