Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients

BACKGROUND: Cancer patient's outcome is written, in part, in the gene expression profile of the tumor. We previously identified a 62-probe sets signature (NB-hypo) to identify tissue hypoxia in neuroblastoma tumors and showed that NB-hypo stratified neuroblastoma patients in good and poor outco...

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Detalles Bibliográficos
Autores principales: Cangelosi, Davide, Muselli, Marco, Parodi, Stefano, Blengio, Fabiola, Becherini, Pamela, Versteeg, Rogier, Conte, Massimo, Varesio, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4095004/
https://www.ncbi.nlm.nih.gov/pubmed/25078098
http://dx.doi.org/10.1186/1471-2105-15-S5-S4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4095004/
https://www.ncbi.nlm.nih.gov/pubmed/25078098
http://dx.doi.org/10.1186/1471-2105-15-S5-S4

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