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ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data
The extraction of novel information from omics data is a challenging task, in particular, since the number of features (e.g. genes) often far exceeds the number of samples. In such a setting, conventional parameter estimation leads to ill-posed optimization problems, and regularization may be requir...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014683/ https://www.ncbi.nlm.nih.gov/pubmed/35072570 http://dx.doi.org/10.1177/09622802211072456 |