2129 related articles for article (PubMed ID: 31311829)
1. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
2. Identification of hub genes and analysis of prognostic values in pancreatic ductal adenocarcinoma by integrated bioinformatics methods.
Lu Y; Li C; Chen H; Zhong W
Mol Biol Rep; 2018 Dec; 45(6):1799-1807. PubMed ID: 30173393
[TBL] [Abstract][Full Text] [Related]
3. Identification of differentially expressed genes in pancreatic ductal adenocarcinoma and normal pancreatic tissues based on microarray datasets.
Liu L; Wang S; Cen C; Peng S; Chen Y; Li X; Diao N; Li Q; Ma L; Han P
Mol Med Rep; 2019 Aug; 20(2):1901-1914. PubMed ID: 31257501
[TBL] [Abstract][Full Text] [Related]
4. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
5. Analysis of molecular pathways in pancreatic ductal adenocarcinomas with a bioinformatics approach.
Wang Y; Li Y
Asian Pac J Cancer Prev; 2015; 16(6):2561-7. PubMed ID: 25824797
[TBL] [Abstract][Full Text] [Related]
6. Identification of Key Prognostic Biomarker and Its Correlation with Immune Infiltrates in Pancreatic Ductal Adenocarcinoma.
Luan H; Zhang C; Zhang T; He Y; Su Y; Zhou L
Dis Markers; 2020; 2020():8825997. PubMed ID: 32934754
[TBL] [Abstract][Full Text] [Related]
7. MicroRNA Expression Profiles Identify Biomarker for Differentiating the Embolic Stroke from Thrombotic Stroke.
Chen LT; Jiang CY
Biomed Res Int; 2018; 2018():4514178. PubMed ID: 30627556
[TBL] [Abstract][Full Text] [Related]
8. Identification of key regulators of pancreatic ductal adenocarcinoma using bioinformatics analysis of microarray data.
Li N; Zhao X; You S
Medicine (Baltimore); 2019 Jan; 98(2):e14074. PubMed ID: 30633213
[TBL] [Abstract][Full Text] [Related]
9. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
[TBL] [Abstract][Full Text] [Related]
10. Potential four‑miRNA signature associated with T stage and prognosis of patients with pancreatic ductal adenocarcinoma identified by co‑expression analysis.
You L; Wang J; Zhang F; Zhang J; Tao H; Zheng X; Hu Y
Mol Med Rep; 2019 Jan; 19(1):441-451. PubMed ID: 30483731
[TBL] [Abstract][Full Text] [Related]
11. Identification of potential core genes at single-cell level contributing to pathogenesis of pancreatic ductal adenocarcinoma through bioinformatics analysis.
Du B; Su F; Wang H; Liang H; Song X; Shao Z; Wei Y
Cancer Biomark; 2022; 34(1):1-12. PubMed ID: 35068444
[TBL] [Abstract][Full Text] [Related]
12. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
15. ITGA2, LAMB3, and LAMC2 may be the potential therapeutic targets in pancreatic ductal adenocarcinoma: an integrated bioinformatics analysis.
Islam S; Kitagawa T; Baron B; Abiko Y; Chiba I; Kuramitsu Y
Sci Rep; 2021 May; 11(1):10563. PubMed ID: 34007003
[TBL] [Abstract][Full Text] [Related]
16. Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis.
Li C; Hong Z; Ou M; Zhu X; Zhang L; Yang X
Biomed Res Int; 2021; 2021():6673655. PubMed ID: 34734085
[TBL] [Abstract][Full Text] [Related]
17. Identification and validation of the microRNAs and hub genes for pancreatic ductal adenocarcinoma by an integrated bioinformatic analysis.
Xin W; Fu Y; Chen L; Ding H; Feng T; Sun J; Qi Y; Hu Y; Fang Q; Fang L
J Gastrointest Oncol; 2023 Apr; 14(2):719-732. PubMed ID: 37201049
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
Qin X; Song Y
Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
[TBL] [Abstract][Full Text] [Related]
19. Gene signature and connectivity mapping to assist with drug prediction for pancreatic ductal adenocarcinoma.
Xiao Y; Zhang B; Cloyd JM; Xu G; Du S; Mao Y; Pawlik TM
Surg Oncol; 2022 Sep; 44():101849. PubMed ID: 36116415
[TBL] [Abstract][Full Text] [Related]
20. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
