Classification models for clear cell renal carcinoma stage progression, based on tumor RNAseq expression trained supervised machine learning algorithms

BACKGROUND: Clear-cell Renal Cell Carcinoma (ccRCC) is the most- prevalent, chemotherapy resistant and lethal adult kidney cancer. There is a need for novel diagnostic and prognostic biomarkers for ccRCC, due to its heterogeneous molecular profiles and asymptomatic early stage. This study aims to de...

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Detalles Bibliográficos
Autores principales: Jagga, Zeenia, Gupta, Dinesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4202178/
https://www.ncbi.nlm.nih.gov/pubmed/25374611
http://dx.doi.org/10.1186/1753-6561-8-S6-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4202178/
https://www.ncbi.nlm.nih.gov/pubmed/25374611
http://dx.doi.org/10.1186/1753-6561-8-S6-S2

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