ATHENA: Identifying interactions between different levels of genomic data associated with cancer clinical outcomes using grammatical evolution neural network

BACKGROUND: Gene expression profiles have been broadly used in cancer research as a diagnostic or prognostic signature for the clinical outcome prediction such as stage, grade, metastatic status, recurrence, and patient survival, as well as to potentially improve patient management. However, emergin...

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Detalles Bibliográficos
Autores principales: Kim, Dokyoon, Li, Ruowang, Dudek, Scott M, Ritchie, Marylyn D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912499/
https://www.ncbi.nlm.nih.gov/pubmed/24359638
http://dx.doi.org/10.1186/1756-0381-6-23

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912499/
https://www.ncbi.nlm.nih.gov/pubmed/24359638
http://dx.doi.org/10.1186/1756-0381-6-23

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