167 related articles for article (PubMed ID: 35711689)
1. The Underlying Molecular Basis and Mechanisms of Venous Thrombosis in Patients with Osteomyelitis: A Data-Driven Analysis.
Chen P; Liu Y; Lin X; Yu B; Chen B; Lin F
Genet Res (Camb); 2022; 2022():5672384. PubMed ID: 35711689
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Venous Thromboembolism (VTE).
Lu S; Lijuan R; Tang QH; Liu QL; Xian-Lan Z
Ann Vasc Surg; 2021 Jul; 74():389-399. PubMed ID: 33819580
[TBL] [Abstract][Full Text] [Related]
3. Integrated analysis and exploration of potential shared gene signatures between carotid atherosclerosis and periodontitis.
Zeng Y; Cao S; Chen M
BMC Med Genomics; 2022 Oct; 15(1):227. PubMed ID: 36316672
[TBL] [Abstract][Full Text] [Related]
4. Identification of Key Genes Associated with Changes in the Host Response to Severe Burn Shock: A Bioinformatics Analysis with Data from the Gene Expression Omnibus (GEO) Database.
Fang X; Duan SF; Gong YZ; Wang F; Chen XL
J Inflamm Res; 2020; 13():1029-1041. PubMed ID: 33293847
[TBL] [Abstract][Full Text] [Related]
5. Immunological analysis and differential genes screening of venous thromboembolism.
Gao LN; Li Q; Xie JQ; Yang WX; You CG
Hereditas; 2021 Jan; 158(1):2. PubMed ID: 33388092
[TBL] [Abstract][Full Text] [Related]
6. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
Li L; Lv J; He Y; Wang Z
BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
[TBL] [Abstract][Full Text] [Related]
7. Comparison of Pathogenic Mechanisms Underlying Single and Recurrent Venous Thromboembolism Based on Gene Expression Profiling.
Xu D; Xu R; He L; Xu T; Zhang Z; Han D; Du J
Ann Vasc Surg; 2016 Oct; 36():252-259. PubMed ID: 27423718
[TBL] [Abstract][Full Text] [Related]
8. Crosstalk between Venous Thromboembolism and Periodontal Diseases: A Bioinformatics Analysis.
He Z; Jiang Q; Li F; Chen M
Dis Markers; 2021; 2021():1776567. PubMed ID: 34925639
[TBL] [Abstract][Full Text] [Related]
9. Identification of Key Inflammation-related Genes as Potential Diagnostic Biomarkers of Sepsis.
Guo P; Wang R; Shen J; Zhang L; Mo W
Altern Ther Health Med; 2023 Jul; 29(5):24-31. PubMed ID: 37235492
[TBL] [Abstract][Full Text] [Related]
10. High expression of NADH Ubiquinone Oxidoreductase Subunit B11 induces catheter-associated venous thrombosis on continuous blood purification.
Ma Y; Guo S
Medicine (Baltimore); 2023 Dec; 102(48):e36520. PubMed ID: 38050233
[TBL] [Abstract][Full Text] [Related]
11. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
Zhou R; Liu D; Zhu J; Zhang T
Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
[TBL] [Abstract][Full Text] [Related]
12. Association of abnormal NDUFB2 and UQCRH expression with venous thromboembolism in patients with liver cirrhosis.
Tan Y; Ma Y; Guo S; Lin Y
Medicine (Baltimore); 2024 Jan; 103(1):e36868. PubMed ID: 38181234
[TBL] [Abstract][Full Text] [Related]
13. Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis.
Kolur V; Vastrad B; Vastrad C; Kotturshetti S; Tengli A
BMC Cardiovasc Disord; 2021 Jul; 21(1):329. PubMed ID: 34218797
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
15. 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]
16. Identification of genes, pathways and transcription factor-miRNA-target gene networks and experimental verification in venous thromboembolism.
Su Y; Li Q; Zheng Z; Wei X; Hou P
Sci Rep; 2021 Aug; 11(1):16352. PubMed ID: 34381164
[TBL] [Abstract][Full Text] [Related]
17. Comprehensive analysis of an lncRNA-miRNA-mRNA competing endogenous RNA network in pulpitis.
Lei F; Zhang H; Xie X
PeerJ; 2019; 7():e7135. PubMed ID: 31304055
[TBL] [Abstract][Full Text] [Related]
18. Genetic correlations, shared risk genes and immunity landscapes between COVID-19 and venous thromboembolism: evidence from GWAS and bulk transcriptome data.
Yan L; Li S; Hu Q; Liao D
Inflamm Res; 2024 Apr; 73(4):619-640. PubMed ID: 38433131
[TBL] [Abstract][Full Text] [Related]
19. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
20. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
Bai J; Pu X; Zhang Y; Dai E
Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
