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Competitive endogenous RNA network identifies four long non-coding RNA signature as a candidate prognostic biomarker for lung adenocarcinoma
Author(s) -
Jing Hu,
Tonglian Wang,
Qiang Chen
Publication year - 2019
Publication title -
translational cancer research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 2219-6803
pISSN - 2218-676X
DOI - 10.21037/tcr.2019.06.09
Subject(s) - competing endogenous rna , kegg , biology , microrna , adenocarcinoma , proportional hazards model , long non coding rna , survival analysis , rna , computational biology , univariate , gene , oncology , lung cancer , messenger rna , bioinformatics , medicine , gene expression , transcriptome , multivariate statistics , cancer , genetics , computer science , machine learning

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