331 related articles for article (PubMed ID: 27746059)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. Identification of transcriptional factors and key genes in primary osteoporosis by DNA microarray.
Xie W; Ji L; Zhao T; Gao P
Med Sci Monit; 2015 May; 21():1333-44. PubMed ID: 25957414
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics Analyses of Differentially Expressed Genes Associated with Acute Myocardial Infarction.
Gao Y; Qi GX; Guo L; Sun YX
Cardiovasc Ther; 2016 Apr; 34(2):67-75. PubMed ID: 26725916
[TBL] [Abstract][Full Text] [Related]
8. Identification of pathogenic genes and upstream regulators in age-related macular degeneration.
Zhao B; Wang M; Xu J; Li M; Yu Y
BMC Ophthalmol; 2017 Jun; 17(1):102. PubMed ID: 28651595
[TBL] [Abstract][Full Text] [Related]
9. Identification of Key Transcription Factors Associated with Lung Squamous Cell Carcinoma.
Zhang F; Chen X; Wei K; Liu D; Xu X; Zhang X; Shi H
Med Sci Monit; 2017 Jan; 23():172-206. PubMed ID: 28081052
[TBL] [Abstract][Full Text] [Related]
10. Identification of upstream transcription factors (TFs) for expression signature genes in breast cancer.
Zang H; Li N; Pan Y; Hao J
Gynecol Endocrinol; 2017 Mar; 33(3):193-198. PubMed ID: 27809618
[TBL] [Abstract][Full Text] [Related]
11. Identification of differentially expressed genes regulated by transcription factors in glioblastomas by bioinformatics analysis.
Wei B; Wang L; Du C; Hu G; Wang L; Jin Y; Kong D
Mol Med Rep; 2015 Apr; 11(4):2548-54. PubMed ID: 25514975
[TBL] [Abstract][Full Text] [Related]
12. Uncovering the differentially expressed genes and pathways involved in the progression of stable coronary artery disease to acute myocardial infarction using bioinformatics analysis.
Xiao SJ; Zhou YF; Wu Q; Ma WR; Chen ML; Pan DF
Eur Rev Med Pharmacol Sci; 2021 Jan; 25(1):301-312. PubMed ID: 33506919
[TBL] [Abstract][Full Text] [Related]
13. Identification of important genes related to ferroptosis and hypoxia in acute myocardial infarction based on WGCNA.
Liu K; Chen S; Lu R
Bioengineered; 2021 Dec; 12(1):7950-7963. PubMed ID: 34565282
[TBL] [Abstract][Full Text] [Related]
14. Abnormal expression of long non-coding RNAs in myocardial infarction.
Wu T; Wu HD; Xu ZX; Han F; Zhang BQ; Sun J; Hu SJ
Heart Vessels; 2017 Oct; 32(10):1253-1261. PubMed ID: 28536831
[TBL] [Abstract][Full Text] [Related]
15. Identification of candidate target genes for human peripheral arterial disease using weighted gene co‑expression network analysis.
Yin DX; Zhao HM; Sun DJ; Yao J; Ding DY
Mol Med Rep; 2015 Dec; 12(6):8107-12. PubMed ID: 26498853
[TBL] [Abstract][Full Text] [Related]
16. Potential biomarkers of acute myocardial infarction based on co-expression network analysis.
Hu Z; Liu R; Hu H; Ding X; Ji Y; Li G; Wang Y; Xie S; Liu X; Ding Z
Exp Ther Med; 2022 Feb; 23(2):162. PubMed ID: 35069843
[TBL] [Abstract][Full Text] [Related]
17. Uncovering potential key genes associated with the pathogenesis of asthma: A microarray analysis of asthma-relevant tissues.
Guan Y; Jin X; Liu X; Huang Y; Wang M; Li X
Allergol Immunopathol (Madr); 2017; 45(2):152-159. PubMed ID: 27842724
[TBL] [Abstract][Full Text] [Related]
18. Identification of pathogenic genes and upstream regulators in allergic rhinitis.
Lei Y; Guo P; An J; Guo C; Lu F; Liu M
Int J Pediatr Otorhinolaryngol; 2018 Dec; 115():97-103. PubMed ID: 30368403
[TBL] [Abstract][Full Text] [Related]
19. Identification of upstream regulators for synovial expression signature genes in osteoarthritis.
Fei Q; Lin J; Meng H; Wang B; Yang Y; Wang Q; Su N; Li J; Li D
Joint Bone Spine; 2016 Oct; 83(5):545-51. PubMed ID: 26832188
[TBL] [Abstract][Full Text] [Related]
20. Identification of Hypoxia-related Genes in Acute Myocardial Infarction using Bioinformatics Analysis.
Xia H; Chen Y; Chen Q; Wu Y
Comb Chem High Throughput Screen; 2023; 26(4):728-742. PubMed ID: 35585822
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
