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...

Descripción completa

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

Internet

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

Ejemplares similares