218 related articles for article (PubMed ID: 33819580)
1. 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]
2. Screening Feature Genes of Venous Thromboembolism with DNA Microarray.
Zhou T; Zhang Y; Wu P; Sun Q; Guo Y
Chem Biol Drug Des; 2015 Oct; 86(4):821-8. PubMed ID: 25777263
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Gene microarray analysis of expression profiles in Suberoyllanilide hyroxamic acid-treated Dendritic cells.
Zhang J; Liu Y; Shi G
Biochem Biophys Res Commun; 2019 Jan; 508(2):392-397. PubMed ID: 30502083
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics analyses of gene expression profile identify key genes and functional pathways involved in cutaneous lupus erythematosus.
Gao ZY; Su LC; Wu QC; Sheng JE; Wang YL; Dai YF; Chen AP; He SS; Huang X; Yan GQ
Clin Rheumatol; 2022 Feb; 41(2):437-452. PubMed ID: 34553293
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of biomarkers of venous thromboembolism by bioinformatics analyses.
Wang G; Zhao W; Yang Y; Yang G; Wei Z; Guo J
Medicine (Baltimore); 2018 Apr; 97(14):e0152. PubMed ID: 29620629
[TBL] [Abstract][Full Text] [Related]
9. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
10. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
Zhou Q; Hong L; Wang J
Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of potential crucial genes associated with early-onset preeclampsia via bioinformatic analysis.
Kang Q; Li W; Xiao J; Yu N; Fan L; Sha M; Ma S; Wu J; Chen S
Pregnancy Hypertens; 2021 Jun; 24():27-36. PubMed ID: 33640831
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
[TBL] [Abstract][Full Text] [Related]
16. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
17. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Crosstalk between septic shock and venous thromboembolism: a bioinformatics and immunoassay analysis.
Li Z; Wang C; Zhang X; Xu X; Wang M; Dong L
Front Cell Infect Microbiol; 2023; 13():1235269. PubMed ID: 38029239
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]