247 related articles for article (PubMed ID: 33815409)
1.
Ye H; Li T; Wang H; Wu J; Yi C; Shi J; Wang P; Song C; Dai L; Jiang G; Huang Y; Yu Y; Li J
Front Immunol; 2021; 12():649551. PubMed ID: 33815409
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. An Integrated Microarray Analysis Reveals Significant Diagnostic and Prognostic Biomarkers in Pancreatic Cancer.
Yang ZQ; Liu YJ; Zhou XL
Med Sci Monit; 2020 Apr; 26():e921769. PubMed ID: 32235821
[TBL] [Abstract][Full Text] [Related]
4. Meta-analysis of transcriptome data identifies a novel 5-gene pancreatic adenocarcinoma classifier.
Bhasin MK; Ndebele K; Bucur O; Yee EU; Otu HH; Plati J; Bullock A; Gu X; Castan E; Zhang P; Najarian R; Muraru MS; Miksad R; Khosravi-Far R; Libermann TA
Oncotarget; 2016 Apr; 7(17):23263-81. PubMed ID: 26993610
[TBL] [Abstract][Full Text] [Related]
5. Screening and Validation of Independent Predictors of Poor Survival in Pancreatic Cancer.
Liu S; Cai Y; Changyong E; Sheng J; Zhang X
Pathol Oncol Res; 2021; 27():1609868. PubMed ID: 34321959
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Bioinformatics analysis reveals TSPAN1 as a candidate biomarker of progression and prognosis in pancreatic cancer.
Ma C; Cui Z; Wang Y; Zhang L; Wen J; Guo H; Li N; Zhang W
Bosn J Basic Med Sci; 2021 Feb; 21(1):47-60. PubMed ID: 33188589
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of a 5‑microRNA signature and hub miRNA‑mRNA interactions associated with pancreatic cancer.
Ma X; Tao R; Li L; Chen H; Liu Z; Bai J; Shuai X; Wu C; Tao K
Oncol Rep; 2019 Jan; 41(1):292-300. PubMed ID: 30365134
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma.
Li C; Xu J
Sci Rep; 2019 Nov; 9(1):17283. PubMed ID: 31754223
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Analysis of potential genetic biomarkers and molecular mechanism of smoking-related postmenopausal osteoporosis using weighted gene co-expression network analysis and machine learning.
Li S; Chen B; Chen H; Hua Z; Shao Y; Yin H; Wang J
PLoS One; 2021; 16(9):e0257343. PubMed ID: 34555052
[TBL] [Abstract][Full Text] [Related]
14. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
15. Identification of Potential Therapeutic Gene Markers in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis.
Xue K; Cao J; Wang Y; Zhao X; Yu D; Jin C; Xu C
Clin Transl Sci; 2020 Mar; 13(2):265-274. PubMed ID: 31863646
[TBL] [Abstract][Full Text] [Related]
16. ECM1 and TMPRSS4 are diagnostic markers of malignant thyroid neoplasms and improve the accuracy of fine needle aspiration biopsy.
Kebebew E; Peng M; Reiff E; Duh QY; Clark OH; McMillan A
Ann Surg; 2005 Sep; 242(3):353-61; discussion 361-3. PubMed ID: 16135921
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatics analysis of potential core genes for glioblastoma.
Zhang Y; Yang X; Zhu XL; Hao JQ; Bai H; Xiao YC; Wang ZZ; Hao CY; Duan HB
Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32667033
[TBL] [Abstract][Full Text] [Related]
18. Comprehensive analysis of location-specific hub genes related to the pathogenesis of colon cancer.
Shi C; Ding K; Li KZ; Long L; Li JL; Hu BL
Med Oncol; 2020 Aug; 37(9):77. PubMed ID: 32743717
[TBL] [Abstract][Full Text] [Related]
19. Identification of Hub Genes in High-Grade Serous Ovarian Cancer Using Weighted Gene Co-Expression Network Analysis.
Wu M; Sun Y; Wu J; Liu G
Med Sci Monit; 2020 Mar; 26():e922107. PubMed ID: 32180586
[TBL] [Abstract][Full Text] [Related]
20. Identification of candidate diagnostic and prognostic biomarkers for pancreatic carcinoma.
Cheng Y; Wang K; Geng L; Sun J; Xu W; Liu D; Gong S; Zhu Y
EBioMedicine; 2019 Feb; 40():382-393. PubMed ID: 30639415
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
