EMT network-based feature selection improves prognosis prediction in lung adenocarcinoma

Various feature selection algorithms have been proposed to identify cancer prognostic biomarkers. In recent years, however, their reproducibility is criticized. The performance of feature selection algorithms is shown to be affected by the datasets, underlying networks and evaluation metrics. One of...

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Detalles Bibliográficos
Autores principales: Shao, Borong, Bjaanæs, Maria Moksnes, Helland, Åslaug, Schütte, Christof, Conrad, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354965/
https://www.ncbi.nlm.nih.gov/pubmed/30703089
http://dx.doi.org/10.1371/journal.pone.0204186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354965/
https://www.ncbi.nlm.nih.gov/pubmed/30703089
http://dx.doi.org/10.1371/journal.pone.0204186

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