Author

Augustine Takyi

University of Utah

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· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:metabolomics· 2 Assay:proteomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Paul A. StewartiD· 3 shared Ashley LuiiD· 2 shared Elsa Renee FloresiD· 2 shared Hayley D. AckermaniD· 2 shared Isis Yanina Narvaez-BanderaiD· 2 shared Yonatan Ayalew MekonneniD· 2 shared Alexandria M. ChaniD· 1 shared Ann CheniD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersBioinformatics

Paul A. StewartORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Multi-Modal Kinome Profiling Discovers Mesenchymal-Like Polarity Networks that Underly Directed Hepatocellular Carcinoma Cell Migration

Thankhoe A. Rants’o, Kathryn Woods, Paige Jensen, Katie A Walker, Alexandria M. Chan, Kathleen M. Maguire, Rebecca G. Zitnay, Lotfa H. Lovely, Jingshu Yang, Augustine Takyi, Paul A. Stewart, Kimberley Jane Evason, Robert L. Judson‐Torres, Martin G. Golkowski

This study identifies a kinase network and DAPK3-driven polarity complex that promotes HCC cell migration and metastasis using a multi-modal profiling approach.

bioRxiv · Sep 18, 2026 · PreprintCancer Biology

iModMix: Integrative Module Analysis for Multi-omics Data

Isis Yanina Narvaez-Bandera, Ashley Lui, Yonatan Ayalew Mekonnen, Vanessa Rubio, Augustine Takyi, Noah Sulman, Christopher M. Wilson, Hayley D. Ackerman, Oscar E. Ospina, Guillermo González-Calderón, Elsa Renee Flores, Qian Li, Ann Chen, Brooke L. Fridley, Paul A. Stewart

iModMix identifies novel multi-omics associations by constructing data-driven modules without relying on biological annotations.

Bioinformatics · Jan 15, 2026Peer-reviewedBioinformatics

EnrichMET: R Package for Integrated Pathway and Network Analysis for Metabolomics

Yonatan Ayalew Mekonnen, Neha Dhake, Vanessa Y. Rubio, Shreya Jaiswal, Isis Yanina Narvaez-Bandera, Ashley Lui, Augustine Takyi, Hayley D. Ackerman, John Koomen, Elsa Renee Flores, Paul A. Stewart

EnrichMET provides an R package for fast and reproducible pathway enrichment analysis in metabolomics, supporting multiple methods and offering both command-line and Shiny interfaces.

bioRxiv · Aug 28, 2025 · PreprintBioinformatics