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...

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Detalles Bibliográficos
Autores principales: Jensch, Antje, Lopes, Marta B., Vinga, Susana, Radde, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research Articles
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014683/
https://www.ncbi.nlm.nih.gov/pubmed/35072570
http://dx.doi.org/10.1177/09622802211072456

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