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A comprehensive genomic pan-cancer classification using The Cancer Genome Atlas gene expression data

BACKGROUND: The Cancer Genome Atlas (TCGA) has generated comprehensive molecular profiles. We aim to identify a set of genes whose expression patterns can distinguish diverse tumor types. Those features may serve as biomarkers for tumor diagnosis and drug development. METHODS: Using RNA-seq expressi...

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Detalles Bibliográficos
Autores principales:	Li, Yuanyuan, Kang, Kai, Krahn, Juno M., Croutwater, Nicole, Lee, Kevin, Umbach, David M., Li, Leping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496318/ https://www.ncbi.nlm.nih.gov/pubmed/28673244 http://dx.doi.org/10.1186/s12864-017-3906-0

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