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Subtype prediction in pediatric acute myeloid leukemia: classification using differential network rank conservation revisited

BACKGROUND: One of the most important application spectrums of transcriptomic data is cancer phenotype classification. Many characteristics of transcriptomic data, such as redundant features and technical artifacts, make over-fitting commonplace. Promising classification results often fail to genera...

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Detalles Bibliográficos
Autores principales:	Obulkasim, Askar, Fornerod, Maarten, Zwaan, Michel C., Reinhardt, Dirk, van den Heuvel-Eibrink, Marry M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580220/ https://www.ncbi.nlm.nih.gov/pubmed/26399969 http://dx.doi.org/10.1186/s12859-015-0737-3

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