Identification of a nine-gene prognostic signature for gastric carcinoma using integrated bioinformatics analyses

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 12, Issue 9

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Supplementary Materials of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Gastrointestinal Oncology

ISSN

1948-5204

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Basic Study

World J Gastrointest Oncol. Sep 15, 2020; 12(9): 975-991
Published online Sep 15, 2020. doi: 10.4251/wjgo.v12.i9.975

Full Size Figure Download Figure

Figure formula 1

Citation: Wu KZ, Xu XH, Zhan CP, Li J, Jiang JL. Identification of a nine-gene prognostic signature for gastric carcinoma using integrated bioinformatics analyses. World J Gastrointest Oncol 2020; 12(9): 975-991
URL: https://www.wjgnet.com/1948-5204/full/v12/i9/975.htm
DOI: https://dx.doi.org/10.4251/wjgo.v12.i9.975

Wu KZ, Xu XH, Zhan CP, Li J, Jiang JL. Identification of a nine-gene prognostic signature for gastric carcinoma using integrated bioinformatics analyses. World J Gastrointest Oncol 2020; 12(9): 975-991 [PMID: 33005292 DOI: 10.4251/wjgo.v12.i9.975]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.