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Article

Genome composition-based deep learning predicts oncogenic potential of HPVs.

Frontiers in cellular and infection microbiology - 1 Jan 2024

Hao Lin, Jiang Yu, Zhang Can, Han Pengfei

Abstract excerpt

Human papillomaviruses (HPVs) account for more than 30% of cancer cases, with definite identification of the oncogenic role of viral E6 and E7 genes. However, the identification of high-risk HPV genotypes has largely relied on lagged biological exploration and clinical observation, with types unclassified and oncogenicity unknown for many HPVs. In the present study, we retrieved and cleaned HPV sequence records...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Oncogene Proteins, Viral

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Source

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Identifiers

PMID: 39104853
DOI: 10.3389/fcimb.2024.1430424
PMCID: PMC11298479

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

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