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

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

Abstract 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 e...

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Bibliographic Details
Main Authors: Yuanyuan Li, Kai Kang, Juno M. Krahn, Nicole Croutwater, Kevin Lee, David M. Umbach, Leping Li
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Genomics
Subjects:
Pan-cancer
Classification
Ga/KNN
RNA-seq
TCGA
And sex dimorphism
Online Access:http://link.springer.com/article/10.1186/s12864-017-3906-0

Internet

http://link.springer.com/article/10.1186/s12864-017-3906-0

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