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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...

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Detalles Bibliográficos
Autores principales: Ko, Soohyun, Choi, Jonghwan, Ahn, Jaegyoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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

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