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Artificial intelligence-guided discovery of gastric cancer continuum
BACKGROUND: Detailed understanding of pre-, early and late neoplastic states in gastric cancer helps develop better models of risk of progression to gastric cancers (GCs) and medical treatment to intercept such progression. METHODS: We built a Boolean implication network of gastric cancer and deploy...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871434/ https://www.ncbi.nlm.nih.gov/pubmed/36692601 http://dx.doi.org/10.1007/s10120-022-01360-3 |