174 related articles for article (PubMed ID: 38817876)
1. Identification of crucial genes through WGCNA in the progression of gastric cancer.
Liu R; Liu J; Cao Q; Chu Y; Chi H; Zhang J; Fu J; Zhang T; Fan L; Liang C; Luo X; Yang X; Li B
J Cancer; 2024; 15(11):3284-3296. PubMed ID: 38817876
[No Abstract] [Full Text] [Related]
2. Identification of
Jiang J; Ding Y; Wu M; Lyu X; Wang H; Chen Y; Wang H; Teng L
Front Oncol; 2020; 10():1765. PubMed ID: 33014868
[No Abstract] [Full Text] [Related]
3. Co-expression network analysis identified CDH11 in association with progression and prognosis in gastric cancer.
Chen PF; Wang F; Nie JY; Feng JR; Liu J; Zhou R; Wang HL; Zhao Q
Onco Targets Ther; 2018; 11():6425-6436. PubMed ID: 30323620
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatic analysis of hub markers and immune cell infiltration characteristics of gastric cancer.
Li C; Yang T; Yuan Y; Wen R; Yu H
Front Immunol; 2023; 14():1202529. PubMed ID: 37359529
[TBL] [Abstract][Full Text] [Related]
5. Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancer.
Zhao Q; Xie J; Xie J; Zhao R; Song C; Wang H; Rong J; Yan L; Song Y; Wang F; Xie Y
Cancer Biomark; 2021; 31(1):59-75. PubMed ID: 33780362
[TBL] [Abstract][Full Text] [Related]
6. Identifying hub genes of calcific aortic valve disease and revealing the immune infiltration landscape based on multiple WGCNA and single-cell sequence analysis.
Wang K; Zheng Q; Liu X; Geng B; Dong N; Shi J
Front Immunol; 2022; 13():1035285. PubMed ID: 36405745
[TBL] [Abstract][Full Text] [Related]
7. Screening and identification of potential hub genes and immune cell infiltration in the synovial tissue of rheumatoid arthritis by bioinformatic approach.
Feng ZW; Tang YC; Sheng XY; Wang SH; Wang YB; Liu ZC; Liu JM; Geng B; Xia YY
Heliyon; 2023 Jan; 9(1):e12799. PubMed ID: 36699262
[TBL] [Abstract][Full Text] [Related]
8. Exploring the Immune Landscape of Cirrhosis through Weighted Gene Co-expression Network Analysis.
Zhuoma B; Yang C; Wang W; Ranhen Y
Cell Mol Biol (Noisy-le-grand); 2023 Jun; 69(6):168-174. PubMed ID: 37605574
[TBL] [Abstract][Full Text] [Related]
9. Identification of Key Diagnostic Markers and Immune Infiltration in Osteoarthritis.
Yan M; Zhao H; Sun Z; Chen J; Zhang Y; Gao J; Yu T
Comb Chem High Throughput Screen; 2023; 26(2):410-423. PubMed ID: 35473522
[TBL] [Abstract][Full Text] [Related]
10. Comprehensive analysis of atherosclerotic plaques reveals crucial genes and molecular mechanisms associated with plaque progression and rupture.
Zhu G; Gao Y; Qian J; Lai Y; Lin H; Liu C; Chen F; Liu X
Front Cardiovasc Med; 2023; 10():951242. PubMed ID: 37057098
[TBL] [Abstract][Full Text] [Related]
11. M2 macrophage-related gene signature in chronic rhinosinusitis with nasal polyps.
Zhu Y; Sun X; Tan S; Luo C; Zhou J; Zhang S; Li Z; Lin H; Zhang W
Front Immunol; 2022; 13():1047930. PubMed ID: 36466903
[TBL] [Abstract][Full Text] [Related]
12. Weighted gene co-expression identification of CDKN1A as a hub inflammation gene following cardiopulmonary bypass in children with congenital heart disease.
Chen H; Liu J; Wu Y; Jiang L; Tang M; Wang X; Fang X; Wang X
Front Surg; 2022; 9():963850. PubMed ID: 36090322
[TBL] [Abstract][Full Text] [Related]
13. Identification and exploration of novel M2 macrophage-related biomarkers in the development of acute myocardial infarction.
Zhou Q; Zhang G; Liu Z; Zhang J; Shi R
Front Cardiovasc Med; 2022; 9():974353. PubMed ID: 36440001
[TBL] [Abstract][Full Text] [Related]
14. Identifying RBM47, HCK, CD53, TYROBP, and HAVCR2 as Hub Genes in Advanced Atherosclerotic Plaques by Network-Based Analysis and Validation.
Liu C; Zhang H; Chen Y; Wang S; Chen Z; Liu Z; Wang J
Front Genet; 2020; 11():602908. PubMed ID: 33519905
[No Abstract] [Full Text] [Related]
15. Identification of Three Significant Genes Associated with Immune Cells Infiltration in Dysfunctional Adipose Tissue-Induced Insulin-Resistance of Obese Patients via Comprehensive Bioinformatics Analysis.
Zhai M; Luan P; Shi Y; Li B; Kang J; Hu F; Li M; Du L; Zhou D; Jian W; Peng W
Int J Endocrinol; 2021; 2021():8820089. PubMed ID: 33564304
[TBL] [Abstract][Full Text] [Related]
16. Identification and validation of key modules and hub genes associated with the pathological stage of oral squamous cell carcinoma by weighted gene co-expression network analysis.
Hu X; Sun G; Shi Z; Ni H; Jiang S
PeerJ; 2020; 8():e8505. PubMed ID: 32117620
[TBL] [Abstract][Full Text] [Related]
17. Identification and Analysis of Crucial Genes in
Ding W; Jiang H; Ye N; Zhuang L; Yuan Z; Tan Y; Xue W; Xu X
J Oncol; 2023; 2023():8538240. PubMed ID: 36778919
[TBL] [Abstract][Full Text] [Related]
18. Dysregulation and imbalance of innate and adaptive immunity are involved in the cardiomyopathy progression.
He B; Quan LP; Cai CY; Yu DY; Yan W; Wei QJ; Zhang Z; Huang XN; Liu L
Front Cardiovasc Med; 2022; 9():973279. PubMed ID: 36148059
[TBL] [Abstract][Full Text] [Related]
19. Revealing immune infiltrate characteristics and potential immune-related genes in hepatic fibrosis: based on bioinformatics, transcriptomics and q-PCR experiments.
Bai YM; Liang S; Zhou B
Front Immunol; 2023; 14():1133543. PubMed ID: 37122694
[TBL] [Abstract][Full Text] [Related]
20. Dysfunctional network of hub genes in hypertrophic cardiomyopathy patients.
Wu S; Ud Din I; Sadiq FM; Abdel-Maksoud MA; Haris M; Mubarak A; Farrag MA; Alghamdi S; Almekhlafi S; Akram M; Li G
Am J Transl Res; 2022; 14(12):8918-8933. PubMed ID: 36628247
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
