Combining data from TCGA and GEO databases and reverse transcription quantitative PCR validation to identify gene prognostic markers in lung cancer

Combining data from TCGA and GEO databases and reverse transcription quantitative PCR validation to identify gene prognostic markers in lung cancer

Xiao Liu,1–3,* Jun Wang,3,* Mei Chen,3 Shilan Liu,3 Xiaodan Yu,3 Fuqiang Wen1,2 1Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; 2Division of Pulmonary Diseases, State Key Laboratory of Biotherapy of China, W...

Full description

Bibliographic Details
Main Authors: Liu X, Wang J, Chen M, Liu S, Yu X, Wen F
Format: Article
Language:English
Published: Dove Medical Press 2019-01-01
Series:OncoTargets and Therapy
Subjects:
lung cancer
prognostic genes
GEO
TCGA
bioinformatics analysis
TPBG
Online Access:https://www.dovepress.com/combining-data-from-tcga-and-geo-databases-and-reverse-transcription-q-peer-reviewed-article-OTT

Internet

https://www.dovepress.com/combining-data-from-tcga-and-geo-databases-and-reverse-transcription-q-peer-reviewed-article-OTT

Similar Items