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Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta
Colorectal cancer (CRC) is the third most prevalent cancer type and accounts for nearly one million deaths worldwide. The CRC mRNA gene expression datasets from TCGA and GEO (GSE144259, GSE50760, and GSE87096) were analyzed to find the significant differentially expressed genes (DEGs). These signifi...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115869/ https://www.ncbi.nlm.nih.gov/pubmed/37076536 http://dx.doi.org/10.1038/s41598-023-33327-4 |