165 related articles for article (PubMed ID: 34792838)
1. Identification of the key genes and immune infiltrating cells determined by sex differences in ischaemic stroke through co-expression network module.
Xu H; Ge Y; Liu Y; Zheng Y; Hu R; Ren C; Liu Q
IET Syst Biol; 2022 Feb; 16(1):28-41. PubMed ID: 34792838
[TBL] [Abstract][Full Text] [Related]
2. Identifying the pattern of immune related cells and genes in the peripheral blood of ischemic stroke.
Li Z; Cui Y; Feng J; Guo Y
J Transl Med; 2020 Aug; 18(1):296. PubMed ID: 32746852
[TBL] [Abstract][Full Text] [Related]
3. Weighted gene co expression network analysis (WGCNA) with key pathways and hub-genes related to micro RNAs in ischemic stroke.
Qu X; Wu S; Gao J; Qin Z; Zhou Z; Liu J
IET Syst Biol; 2021 May; 15(3):93-100. PubMed ID: 33880887
[TBL] [Abstract][Full Text] [Related]
4. Identification of immune-related key genes in the peripheral blood of ischaemic stroke patients using a weighted gene coexpression network analysis and machine learning.
Zheng PF; Chen LZ; Liu P; Pan HW; Fan WJ; Liu ZY
J Transl Med; 2022 Aug; 20(1):361. PubMed ID: 35962388
[TBL] [Abstract][Full Text] [Related]
5. Identifying Key Biomarkers and Immune Infiltration in Female Patients with Ischemic Stroke Based on Weighted Gene Co-Expression Network Analysis.
Xu H; He K; Hu R; Ge Y; Li X; Ni F; Que B; Chen Y; Ma R
Neural Plast; 2022; 2022():5379876. PubMed ID: 35432523
[TBL] [Abstract][Full Text] [Related]
6. Identification of molecular subtypes of ischaemic stroke based on immune-related genes and weighted co-expression network analysis.
Wei D; Chen X; Xu J; He W
IET Syst Biol; 2023 Apr; 17(2):58-69. PubMed ID: 36802116
[TBL] [Abstract][Full Text] [Related]
7. Differentially expressed genes induced by β-caryophyllene in a rat model of cerebral ischemia-reperfusion injury.
Liu S; Liu J; Wang Y; Deng L; Chen S; Wang X; Zuo T; Hu Q; Rao J; Wang Q; Dong Z
Life Sci; 2021 May; 273():119293. PubMed ID: 33705733
[TBL] [Abstract][Full Text] [Related]
8. [Screening of key genes and pathways of ischemic stroke and prediction of traditional Chinese medicines based on bioinformatics].
Cao Y; Kong LB; Huang X; Li XL; Chang JL; Gao Y
Zhongguo Zhong Yao Za Zhi; 2021 Apr; 46(7):1803-1812. PubMed ID: 33982485
[TBL] [Abstract][Full Text] [Related]
9. Identification of Hub Biomarkers and Immune-Related Pathways Participating in the Progression of Antineutrophil Cytoplasmic Antibody-Associated Glomerulonephritis.
Xia MD; Yu RR; Chen DM
Front Immunol; 2021; 12():809325. PubMed ID: 35069594
[TBL] [Abstract][Full Text] [Related]
10. LncRNAs related key pathways and genes in ischemic stroke by weighted gene co-expression network analysis (WGCNA).
Wang M; Wang L; Pu L; Li K; Feng T; Zheng P; Li S; Sun M; Yao Y; Jin L
Genomics; 2020 May; 112(3):2302-2308. PubMed ID: 31923616
[TBL] [Abstract][Full Text] [Related]
11. Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic.
Hasankhani A; Bahrami A; Sheybani N; Aria B; Hemati B; Fatehi F; Ghaem Maghami Farahani H; Javanmard G; Rezaee M; Kastelic JP; Barkema HW
Front Immunol; 2021; 12():789317. PubMed ID: 34975885
[TBL] [Abstract][Full Text] [Related]
12. Using weighted gene co-expression network analysis (WGCNA) to identify the hub genes related to hypoxic adaptation in yak (Bos grunniens).
Bao Q; Zhang X; Bao P; Liang C; Guo X; Chu M; Yan P
Genes Genomics; 2021 Oct; 43(10):1231-1246. PubMed ID: 34338989
[TBL] [Abstract][Full Text] [Related]
13. Identification of biomarkers correlated with hypertrophic cardiomyopathy with co-expression analysis.
Chen R; Ge T; Jiang W; Huo J; Chang Q; Geng J; Shan Q
J Cell Physiol; 2019 Dec; 234(12):21999-22008. PubMed ID: 31059139
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Integrated Analysis of Competitive Endogenous RNA Networks in Acute Ischemic Stroke.
Wu Z; Wei W; Fan H; Gu Y; Li L; Wang H
Front Genet; 2022; 13():833545. PubMed ID: 35401659
[No Abstract] [Full Text] [Related]
16. 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]
17. Identification of Susceptibility Modules and Genes for Cardiovascular Disease in Diabetic Patients Using WGCNA Analysis.
Liang W; Sun F; Zhao Y; Shan L; Lou H
J Diabetes Res; 2020; 2020():4178639. PubMed ID: 32455133
[TBL] [Abstract][Full Text] [Related]
18. Identification of potential hub-lncRNAs in ischemic stroke based on Subpathway-LNCE method.
Zheng Y; Sun S; Yu M; Fu X
J Cell Biochem; 2019 Aug; 120(8):12832-12842. PubMed ID: 30882937
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification of key biomarkers in ischemic stroke: single-cell sequencing and weighted co-expression network analysis.
Tao J; Xie X; Luo M; Sun Q
Aging (Albany NY); 2023 Jul; 15(13):6346-6360. PubMed ID: 37418282
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
