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Identification of a nine-gene prognostic signature for gastric carcinoma using integrated bioinformatics analyses
Author(s) -
Kun-Zhe Wu,
Xiaohua Xu,
Cuiping Zhan,
Jing Li,
Jinlan Jiang
Publication year - 2020
Publication title -
world journal of gastrointestinal oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.924
H-Index - 26
ISSN - 1948-5204
DOI - 10.4251/wjgo.v12.i9.975
Subject(s) - gene signature , medicine , gene , univariate , cancer , bioinformatics , computational biology , oncology , gene expression , multivariate statistics , biology , genetics , computer science , machine learning
Gastric carcinoma (GC) is one of the most aggressive primary digestive cancers. It has unsatisfactory therapeutic outcomes and is difficult to diagnose early.

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