Author

Christina Riley

ORCID 0000-0002-6167-1284Unclaimed ORCID profile · follow to get notified of new preprints

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Christina Riley1 paper · National Jewish Health

Biology Disciplines

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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 Daniel J. van ZyliD· 2 shared Danilo Silva· 2 shared Eduan WilkinsoniD· 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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2 papers

Recent·Most cited

GenomicsBMC GenomicsPeer-reviewedApr 18, 2025

Alignment Free Viral Sequence Classification

Daniel J. van Zyl, Marcel Dunaiski, Houriiyah Tegally…·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.

5 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

GenomicsBioinformatics AdvancesPeer-reviewedDec 26, 2024

Craft: A Machine Learning Approach to Dengue Subtyping

Daniel J. van Zyl, Marcel Dunaiski, Houriiyah Tegally…·Xin Wu

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

4 citations

GWAS summary statisticsmachine learning (classical)

𝕏 PostBluesky