Ontology highlight
ABSTRACT:
SUBMITTER: Hu S
PROVIDER: S-EPMC5522216 | biostudies-literature | 2017 Jun
REPOSITORIES: biostudies-literature
Hu Shuofeng S Yuan Hanyu H Li Zongcheng Z Zhang Jian J Wu Jiaqi J Chen Yaowen Y Shi Qiang Q Ren Wu W Shao Ningsheng N Ying Xiaomin X
Oncotarget 20170601 25
Both tumor and adjacent normal tissues are valuable in cancer research. Transcriptional response profiles represent the changes of gene expression levels between paired tumor and adjacent normal tissues. In this study, we performed a pan-cancer analysis based on the transcriptional response profiles from 633 samples across 13 cancer types. We obtained two interesting results. Using consensus clustering method, we characterized ten clusters with distinct transcriptional response patterns and enri ...[more]