649 related articles for article (PubMed ID: 30173393)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. Screening and identification of hub genes in pancreatic cancer by integrated bioinformatics analysis.
Chen Q; Yu D; Zhao Y; Qiu J; Xie Y; Tao M
J Cell Biochem; 2019 Dec; 120(12):19496-19508. PubMed ID: 31297881
[TBL] [Abstract][Full Text] [Related]
7. 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]
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. Bioinformatic Analysis Suggests That Three Hub Genes May Be a Vital Prognostic Biomarker in Pancreatic Ductal Adenocarcinoma.
Chang X; Yang MF; Fan W; Wang LS; Yao J; Li ZS; Li DF
J Comput Biol; 2020 Nov; 27(11):1595-1609. PubMed ID: 32216644
[TBL] [Abstract][Full Text] [Related]
10. Identifying
Ding J; Liu Y; Lai Y
PeerJ; 2020; 8():e10419. PubMed ID: 33282565
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
14. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
15. Identification of hub genes with diagnostic values in pancreatic cancer by bioinformatics analyses and supervised learning methods.
Li C; Zeng X; Yu H; Gu Y; Zhang W
World J Surg Oncol; 2018 Nov; 16(1):223. PubMed ID: 30428899
[TBL] [Abstract][Full Text] [Related]
16. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
19. Identification of potential hub genes associated with the pathogenesis and prognosis of pancreatic duct adenocarcinoma using bioinformatics meta-analysis of multi-platform datasets.
Ma Y; Pu Y; Peng L; Luo X; Xu J; Peng Y; Tang X
Oncol Lett; 2019 Dec; 18(6):6741-6751. PubMed ID: 31807183
[TBL] [Abstract][Full Text] [Related]
20. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]