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Identification of Breast Cancer Metastasis Markers from Gene Expression Profiles Using Machine Learning Approaches
Cancer metastasis accounts for approximately 90% of cancer deaths, and elucidating markers in metastasis is the first step in its prevention. To characterize metastasis marker genes (MGs) of breast cancer, XGBoost models that classify metastasis status were trained with gene expression profiles from...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10530902/ https://www.ncbi.nlm.nih.gov/pubmed/37761960 http://dx.doi.org/10.3390/genes14091820 |