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GVES: machine learning model for identification of prognostic genes with a small dataset
Machine learning may be a powerful approach to more accurate identification of genes that may serve as prognosticators of cancer outcomes using various types of omics data. However, to date, machine learning approaches have shown limited prediction accuracy for cancer outcomes, primarily owing to sm...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801384/ https://www.ncbi.nlm.nih.gov/pubmed/33431999 http://dx.doi.org/10.1038/s41598-020-79889-5 |