321 related articles for article (PubMed ID: 34861826)
1. Identification of four hub genes in venous thromboembolism via weighted gene coexpression network analysis.
Fan G; Jin Z; Wang K; Yang H; Wang J; Li Y; Chen B; Zhang H
BMC Cardiovasc Disord; 2021 Dec; 21(1):577. PubMed ID: 34861826
[TBL] [Abstract][Full Text] [Related]
2. Identification of vital modules and genes associated with heart failure based on weighted gene coexpression network analysis.
Bian W; Wang Z; Li X; Jiang XX; Zhang H; Liu Z; Zhang DM
ESC Heart Fail; 2022 Apr; 9(2):1370-1379. PubMed ID: 35128826
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. HEMGN and SLC2A1 might be potential diagnostic biomarkers of steroid-induced osteonecrosis of femoral head: study based on WGCNA and DEGs screening.
Wu Z; Wen Y; Fan G; He H; Zhou S; Chen L
BMC Musculoskelet Disord; 2021 Jan; 22(1):85. PubMed ID: 33451334
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of potential therapeutic targets for plaque vulnerability based on an integrated analysis.
Miao L; Qin YA; Yang ZJ; Shi WX; Wei XQ; Liu Y; Liu YL
Nutr Metab Cardiovasc Dis; 2024 Jul; 34(7):1649-1659. PubMed ID: 38749785
[TBL] [Abstract][Full Text] [Related]
9. Identification of hub-methylated differentially expressed genes in patients with gestational diabetes mellitus by multi-omic WGCNA basing epigenome-wide and transcriptome-wide profiling.
Chen M; Yan J; Han Q; Luo J; Zhang Q
J Cell Biochem; 2020 Jun; 121(5-6):3173-3184. PubMed ID: 31886571
[TBL] [Abstract][Full Text] [Related]
10. Potential targets and molecular mechanism of miR-331-3p in hepatocellular carcinoma identified by weighted gene coexpression network analysis.
Chi Q; Geng X; Xu K; Wang C; Zhao H
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32537629
[TBL] [Abstract][Full Text] [Related]
11. Application of Weighted Gene Coexpression Network Analysis to Identify Key Modules and Hub Genes in Systemic Juvenile Idiopathic Arthritis.
Zhou M; Guo R; Wang YF; Yang W; Li R; Lu L
Biomed Res Int; 2021; 2021():9957569. PubMed ID: 34435051
[TBL] [Abstract][Full Text] [Related]
12. Coexpression network analysis coupled with connectivity map database mining reveals novel genetic biomarkers and potential therapeutic drugs for polymyositis.
Wang K; Zhu R; Li J; Zhang Z; Wen X; Chen H; Sun L
Clin Rheumatol; 2022 Jun; 41(6):1719-1730. PubMed ID: 35091780
[TBL] [Abstract][Full Text] [Related]
13. Co-expression modules construction by WGCNA and identify potential hub genes and regulation pathways of postpartum depression.
Deng Z; Cai W; Liu J; Deng A; Yang Y; Tu J; Yuan C; Xiao H; Gao W
Front Biosci (Landmark Ed); 2021 Nov; 26(11):1019-1030. PubMed ID: 34856750
[No Abstract] [Full Text] [Related]
14. Identification of key genes associated with papillary thyroid microcarcinoma characteristics by integrating transcriptome sequencing and weighted gene co-expression network analysis.
Yang F; Lian M; Ma H; Feng L; Shen X; Chen J; Fang J
Gene; 2022 Feb; 811():146086. PubMed ID: 34856364
[TBL] [Abstract][Full Text] [Related]
15. Identifying the hub genes in non-small cell lung cancer by integrated bioinformatics methods and analyzing the prognostic values.
Wang T; Chen X; Jing F; Li Z; Tan H; Luo Y; Shi H
Pathol Res Pract; 2021 Dec; 228():153654. PubMed ID: 34749208
[TBL] [Abstract][Full Text] [Related]
16. Identification and Verification of Five Potential Biomarkers Related to Skin and Thermal Injury Using Weighted Gene Co-Expression Network Analysis.
Yang R; Wang Z; Li J; Pi X; Wang X; Xu Y; Shi Y; Zhou S
Front Genet; 2021; 12():781589. PubMed ID: 35047008
[No 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. 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]
19. Identification of Hub Gene GRIN1 Correlated with Histological Grade and Prognosis of Glioma by Weighted Gene Coexpression Network Analysis.
Yang A; Wang X; Hu Y; Shang C; Hong Y
Biomed Res Int; 2021; 2021():4542995. PubMed ID: 34840971
[TBL] [Abstract][Full Text] [Related]
20. Identification of
Zhu M; Jia L; Li F; Jia J
Front Genet; 2020; 11():981. PubMed ID: 33005179
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
