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Feature Selection and Molecular Classification of Cancer Phenotypes: A Comparative Study
The classification of high dimensional gene expression data is key to the development of effective diagnostic and prognostic tools. Feature selection involves finding the best subset with the highest power in predicting class labels. Here, we conducted a comparative study focused on different combin...
Autores principales: | Zanella, Luca, Facco, Pierantonio, Bezzo, Fabrizio, Cimetta, Elisa |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408964/ https://www.ncbi.nlm.nih.gov/pubmed/36012350 http://dx.doi.org/10.3390/ijms23169087 |
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