These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
399 related articles for article (PubMed ID: 28636181)
1. Identification of Biomarkers for Early Diagnosis of Acute Myocardial Infarction. Ge WH; Lin Y; Li S; Zong X; Ge ZC J Cell Biochem; 2018 Jan; 119(1):650-658. PubMed ID: 28636181 [TBL] [Abstract][Full Text] [Related]
2. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus. Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912 [TBL] [Abstract][Full Text] [Related]
3. Identification of Transcription Factor-Gene Regulatory Network in Acute Myocardial Infarction. Cao Y; Li R; Li Y; Zhang T; Wu N; Zhang J; Guo Z Heart Lung Circ; 2017 Apr; 26(4):343-353. PubMed ID: 27746059 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis. Chen DQ; Kong XS; Shen XB; Huang MZ; Zheng JP; Sun J; Xu SH Cardiovasc Ther; 2019; 2019():8490707. PubMed ID: 31772617 [TBL] [Abstract][Full Text] [Related]
6. Bioinformatics analysis of time series gene expression in left ventricle (LV) with acute myocardial infarction (AMI). Zhang T; Zhao LL; Cao X; Qi LC; Wei GQ; Liu JY; Yan SJ; Liu JG; Li XQ Gene; 2014 Jun; 543(2):259-67. PubMed ID: 24704022 [TBL] [Abstract][Full Text] [Related]
7. Screening pathogenic genes in oral squamous cell carcinoma based on the mRNA expression microarray data. Ding Y; Liu P; Zhang S; Tao L; Han J Int J Mol Med; 2018 Jun; 41(6):3597-3603. PubMed ID: 29512771 [TBL] [Abstract][Full Text] [Related]
8. Identification and analysis of key genes associated with acute myocardial infarction by integrated bioinformatics methods. Guo S; Wu J; Zhou W; Liu X; Liu Y; Zhang J; Jia S; Li J; Wang H Medicine (Baltimore); 2021 Apr; 100(15):e25553. PubMed ID: 33847684 [TBL] [Abstract][Full Text] [Related]
9. Identification of co-expressed central genes and transcription factors in acute myocardial infarction and diabetic nephropathy. Li B; Zhao X; Xie W; Hong Z; Cao Y; Zhang Y; Ding Y BMC Med Genomics; 2024 May; 17(1):134. PubMed ID: 38764052 [TBL] [Abstract][Full Text] [Related]
10. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data. Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618 [TBL] [Abstract][Full Text] [Related]
11. Identifying key genes associated with acute myocardial infarction. Cheng M; An S; Li J Medicine (Baltimore); 2017 Oct; 96(42):e7741. PubMed ID: 29049183 [TBL] [Abstract][Full Text] [Related]
12. Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population. Su J; Gao C; Wang R; Xiao C; Yang M Mol Med Rep; 2018 Aug; 18(2):1311-1322. PubMed ID: 29845217 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. Identification of CD20, ECM, and ITGA as Biomarkers for Osteosarcoma by Integrating Transcriptome Analysis. Wang DW; Yu SY; Cao Y; Yang L; Liu W; Er XQ; Yao GJ; Bi ZG Med Sci Monit; 2016 Jun; 22():2075-85. PubMed ID: 27314445 [TBL] [Abstract][Full Text] [Related]
15. Identification of Potential Biomarkers Associated with Acute Myocardial Infarction by Weighted Gene Coexpression Network Analysis. Wang Y; Zhang X; Duan M; Zhang C; Wang K; Feng L; Song L; Wu S; Chen X Oxid Med Cell Longev; 2021; 2021():5553811. PubMed ID: 34490057 [TBL] [Abstract][Full Text] [Related]
16. Biodata Mining of Differentially Expressed Genes between Acute Myocardial Infarction and Unstable Angina Based on Integrated Bioinformatics. Guo S; Huang Z; Liu X; Zhang J; Ye P; Wu C; Lu S; Jia S; Zhang X; Chen X; Wang M; Wu J Biomed Res Int; 2021; 2021():5584681. PubMed ID: 34568491 [TBL] [Abstract][Full Text] [Related]
17. Identification of feature autophagy-related genes in patients with acute myocardial infarction based on bioinformatics analyses. Du Y; Zhao E; Zhang Y Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32597946 [TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis of molecular mechanisms of chronic obstructive pulmonary disease. Chen W; Hong YQ; Meng ZL Eur Rev Med Pharmacol Sci; 2014; 18(23):3557-63. PubMed ID: 25535123 [TBL] [Abstract][Full Text] [Related]
19. ACSL1, CH25H, GPCPD1, and PLA2G12A as the potential lipid-related diagnostic biomarkers of acute myocardial infarction. Liu ZY; Liu F; Cao Y; Peng SL; Pan HW; Hong XQ; Zheng PF Aging (Albany NY); 2023 Feb; 15(5):1394-1411. PubMed ID: 36863716 [TBL] [Abstract][Full Text] [Related]
20. Gene Expression Profiles at Different Time Points after Acute Myocardial Infarction in Mice. Li H; Jia X; Bai YQ; Wu P; Guo HL; Yun KM; Gao CR; Guo XJ Fa Yi Xue Za Zhi; 2022 Jun; 38(3):343-349. PubMed ID: 36221828 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]