Identification of critical genes in gastric cancer to predict prognosis using bioinformatics analysis methods-Reference-Cited by-同舟云学术

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Identification of critical genes in gastric cancer to predict prognosis using bioinformatics analysis methods

Published:2020-07 Issue:14 Volume:8 Page:884-884
ISSN:2305-5839
Container-title:Annals of Translational Medicine
language:
Short-container-title:Ann Transl Med

Author:

Liu Jing,Ma Liang,Chen Zhiming,Song Yao,Gu Tinging,Liu Xianchen,Zhao Hongyu,Yao Ninghua

Publisher

AME Publishing Company

Subject

General Medicine

Link

http://atm.amegroups.com/article/download/47282/pdf

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identification of Key Genes Associated with Tumor Microenvironment Infiltration and Survival in Gastric Adenocarcinoma via Bioinformatics Analysis;Cancers;2024-03-26

2. Identification of Hub Genes Associated with Tumor-Infiltrating Immune Cells and ECM Dynamics as the Potential Therapeutic Targets in Gastric Cancer through an Integrated Bioinformatic Analysis and Machine Learning Methods;Combinatorial Chemistry & High Throughput Screening;2023-04

3. Knockdown of TMEM132A restrains the malignant phenotype of gastric cancer cells via inhibiting Wnt signaling;Nucleosides, Nucleotides & Nucleic Acids;2022-11-28

4. Association of FLG mutation with tumor mutation load and clinical outcomes in patients with gastric cancer;Frontiers in Genetics;2022-08-15

5. LINC00200 contributes to the chemoresistance to oxaliplatin of gastric cancer cells via regulating E2F1/RAD51 axis;Human Cell;2021-04-06

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