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Author

Mark Ezegbogu

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Open access Sep 2026

DNAmBERT: a transformer-based model for non-invasive cancer diagnosis using DNA sequence and methylation data

DNAmBERT, a Transformer-based deep learning framework designed to jointly model DNA sequence context and read-level methylation haplotype structure from cfDNA methylation sequencing data, indicates that integrated sequence–haplotype representation learning provides an accurate and scalable approach for cfDNA-based mult...

Maryam Yassi, Mark Ezegbogu, E. Rodger et al. · 0 citations
Open access Aug 2026

Epigenetic Profiling for Early Detection and Treatment Response Monitoring in Non–Small Cell Lung Cancer: Protocol for a Prospective Translational Biomarker Study

One of the first integrated genomic, epigenomic, and transcriptomic liquid biopsy datasets for NSCLC in New Zealand is generated, expected to support the development of sensitive, accessible, and equitable blood-based biomarkers for NSCLC detection and treatment monitoring while also contributing to improved precision...

Rajiv Kumar, Safia May Farry, Mark Ezegbogu et al. · 0 citations

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