Author

Kenneth Ewerem

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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Genomics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alash’le AbimikuiD· 2 shared Aminu Musa· 2 shared Anna WintersiD· 2 shared Chenfeng XiongiD· 2 shared Cheryl BaxteriD· 2 shared Christina RileyiD· 2 shared Daniel J. van ZyliD· 2 shared Danilo Silva· 2 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Alash’le AbimikuORCID

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Author profile →

2 papers

Recent·Most cited

Alignment Free Viral Sequence Classification

Daniel J. van Zyl, Marcel Dunaiski, Houriiyah Tegally, Cheryl Baxter, Túlio de Oliveira, Joicymara Santos Xavier, Christina Riley, Anna Winters, Vivek Naranbhai, Felix Made, Salim Abdool Karim, Kennedy Otwombe, Alash’le Abimiku, Sophia Osawe, James Onyemata, , Xin Wu

This study evaluates alignment-free methods for viral sequence classification, showing high accuracy and efficiency on SARS-CoV-2, dengue, and HIV datasets.

BMC Genomics · Apr 18, 2025Peer-reviewedGenomics

Craft: A Machine Learning Approach to Dengue Subtyping

Daniel J. van Zyl, Marcel Dunaiski, Houriiyah Tegally, Cheryl Baxter, Túlio de Oliveira, Joicymara Santos Xavier, Christina Riley, Anna Winters, Vivek Naranbhai, Felix Made, Salim S. Abdool Karim, Kennedy Otwombe, Alash’le Abimiku, Sophia Osawe, James Ezenwa Onyemata, , Xin Wu

Craft is a machine learning framework for dengue subtyping that achieves high accuracy and speed, outperforming existing tools in classification efficiency.

Bioinformatics Advances · Dec 26, 2024Peer-reviewedGenomics