196 related articles for article (PubMed ID: 35117911)
1. Identification of key biomarkers and potential signaling pathway associated with poor progression of gastric cancer.
Hu Y; Hu Z; Ding H; Li Y; Zhao X; Shao M; Pan Y
Transl Cancer Res; 2020 Sep; 9(9):5459-5472. PubMed ID: 35117911
[TBL] [Abstract][Full Text] [Related]
2. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[TBL] [Abstract][Full Text] [Related]
3. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
4. Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.
Yin LK; Yuan HY; Liu JJ; Xu XL; Wang W; Bai XY; Wang P
World J Clin Cases; 2023 Jul; 11(20):4763-4787. PubMed ID: 37584004
[TBL] [Abstract][Full Text] [Related]
5. Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.
Cao L; Chen Y; Zhang M; Xu DQ; Liu Y; Liu T; Liu SX; Wang P
PeerJ; 2018; 6():e5180. PubMed ID: 30002985
[TBL] [Abstract][Full Text] [Related]
6. Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancer.
Zhao Q; Xie J; Xie J; Zhao R; Song C; Wang H; Rong J; Yan L; Song Y; Wang F; Xie Y
Cancer Biomark; 2021; 31(1):59-75. PubMed ID: 33780362
[TBL] [Abstract][Full Text] [Related]
7. Identifying
Ding J; Liu Y; Lai Y
PeerJ; 2020; 8():e10419. PubMed ID: 33282565
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
9. Identification of core genes and outcome in gastric cancer using bioinformatics analysis.
Sun C; Yuan Q; Wu D; Meng X; Wang B
Oncotarget; 2017 Sep; 8(41):70271-70280. PubMed ID: 29050278
[TBL] [Abstract][Full Text] [Related]
10. [Screening of differentially expressed genes in gastric cancer based on GEO database and function and pathway enrichment analysis].
Liang Y; Lai Y; Yuan Y; Yuan W; Zhang X; Zhang B; Lu Z
Nan Fang Yi Ke Da Xue Xue Bao; 2024 Mar; 44(3):605-616. PubMed ID: 38597453
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatics Analysis of Key Genes and circRNA-miRNA-mRNA Regulatory Network in Gastric Cancer.
Tian Y; Xing Y; Zhang Z; Peng R; Zhang L; Sun Y
Biomed Res Int; 2020; 2020():2862701. PubMed ID: 32908877
[TBL] [Abstract][Full Text] [Related]
12. Identification of Hub Genes and Potential Pathogenesis in Gastric Cancer Based on Integrated Gene Expression Profile Analysis.
Luu Truong Thanh H; Hoang TM; Hoang Van H
Asian Pac J Cancer Prev; 2024 Mar; 25(3):885-892. PubMed ID: 38546071
[TBL] [Abstract][Full Text] [Related]
13. Integrated bioinformatics analysis for exploring hub genes and related mechanisms affecting the progression of gastric cancer.
Wang Y; Li D; Li D; Wang H; Wu Y
Biotechnol Genet Eng Rev; 2023 May; ():1-12. PubMed ID: 37243583
[TBL] [Abstract][Full Text] [Related]
14. The Analysis of Potential Diagnostic and Therapeutic Targets for the Occurrence and Development of Gastric Cancer Based on Bioinformatics.
Ding C; Zhang Q; Jiang X; Wei D; Xu S; Li Q; Wu M; Wang H
Comput Math Methods Med; 2022; 2022():4321466. PubMed ID: 35756405
[TBL] [Abstract][Full Text] [Related]
15. Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis.
Qiu J; Sun M; Wang Y; Chen B
Med Sci Monit; 2020 Feb; 26():e920261. PubMed ID: 32058995
[TBL] [Abstract][Full Text] [Related]
16. Identification of Potential Core Genes Associated With the Progression of Stomach Adenocarcinoma Using Bioinformatic Analysis.
Yang B; Zhang M; Luo T
Front Genet; 2020; 11():517362. PubMed ID: 33193601
[TBL] [Abstract][Full Text] [Related]
17. Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.
Li M; Wang X; Liu J; Mao X; Li D; Wang Z; Tang Y; Wu S
Biomed Res Int; 2020; 2020():8859826. PubMed ID: 33381592
[TBL] [Abstract][Full Text] [Related]
18. Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.
Abdolahi F; Shahraki A; Sheervalilou R; Mortazavi SS
BMC Med Genomics; 2023 Dec; 16(1):311. PubMed ID: 38041130
[TBL] [Abstract][Full Text] [Related]
19. Identification of significant genes associated with prognosis of gastric cancer by bioinformatics analysis.
Wang S; Tao S; Liu Y; Shi Y; Liu M
J Egypt Natl Canc Inst; 2022 Dec; 34(1):55. PubMed ID: 36567425
[TBL] [Abstract][Full Text] [Related]
20. Identification of potential core genes in gastric cancer using bioinformatics analysis.
Shao C; Wang R; Kong D; Gao Q; Xu C
J Gastrointest Oncol; 2021 Oct; 12(5):2109-2122. PubMed ID: 34790378
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
