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arXiv AI By Arefin Amin, Labiba Faiza Karim, M. Monir Uddin

GenEx: A Graph-Based Representational Paradigm for SARS-CoV-2 Variant Detection via Codon Co-occurrence Networks

Read the original on arXiv AI →

GenEx is a new pipeline that transforms raw SARS‑CoV‑2 gene sequences into codon co‑occurrence graphs, extracting over 25 graph features. It introduces two graph generation methods—MSCG and LAPCG—and applies spectral graph analysis via Singular Value Decomposition to improve class separability. Using these techniques, the authors trained 23 machine‑learning models that successfully detected all major SARS‑CoV‑2 variants.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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