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Highly accurate disease diagnosis and highly reproducible biomarker identification with PathFormer
Biomarker identification is critical for precise disease diagnosis and understanding disease pathogenesis in omics data analysis, like using fold change and regression analysis. Graph neural networks (GNNs) have been the dominant deep learning model for analyzing graph-structured data. However, we f...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Journal Experts
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680938/ https://www.ncbi.nlm.nih.gov/pubmed/38014034 http://dx.doi.org/10.21203/rs.3.rs-3576068/v1 |