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Using Machine Learning Methods to Study Colorectal Cancer Tumor Micro-Environment and Its Biomarkers
Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide, and the identification of biomarkers can improve early detection and personalized treatment. In this study, RNA-seq data and gene chip data from TCGA and GEO were used to explore potential biomarkers for CRC. The SMOTE method was...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342679/ https://www.ncbi.nlm.nih.gov/pubmed/37446311 http://dx.doi.org/10.3390/ijms241311133 |