Leveraging sequences missing from the human genome to diagnose cancer
Abstract Background Cancer diagnosis using cell-free DNA (cfDNA) has the potential to improve treatment and survival but has several technical limitations. Methods In this study, we developed a prediction model based on neomers, DNA sequences 13–17 nucleotides in length that are predominantly absent...
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| Principais autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-08-01
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| coleção: | Communications Medicine |
| Acesso em linha: | https://doi.org/10.1038/s43856-025-01067-3 |
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