164 related articles for article (PubMed ID: 37900130)
1. Identification of optimal feature genes in patients with thyroid associated ophthalmopathy and their relationship with immune infiltration: a bioinformatics analysis.
Xiong C; Wang Y; Li Y; Yu J; Wu S; Wu L; Zhang B; Chen Y; Gan P; Liao H
Front Endocrinol (Lausanne); 2023; 14():1203120. PubMed ID: 37900130
[TBL] [Abstract][Full Text] [Related]
2. Identification and validation of ferroptosis-related genes and immune cell infiltration in thyroid associated ophthalmopathy.
Chen S; Diao J; Yue Z; Wei R
Front Genet; 2023; 14():1118391. PubMed ID: 37021001
[TBL] [Abstract][Full Text] [Related]
3. Comprehensive analysis of key genes and pathways for biological and clinical implications in thyroid-associated ophthalmopathy.
Wang Y; Shao Y; Zhang H; Wang J; Zhang P; Zhang W; Chen H
BMC Genomics; 2022 Sep; 23(1):630. PubMed ID: 36056316
[TBL] [Abstract][Full Text] [Related]
4. Mechanisms of immune-related differentially expressed genes in thyroid-associated ophthalmopathy based on the GEO database.
Gao Y; Li W
Ann Transl Med; 2022 Sep; 10(17):926. PubMed ID: 36172114
[TBL] [Abstract][Full Text] [Related]
5. Machine learning-based prediction of diagnostic markers for Graves' orbitopathy.
Cai Y; Su H; Si Y; Ni N
Endocrine; 2023 Aug; 81(2):277-289. PubMed ID: 37059863
[TBL] [Abstract][Full Text] [Related]
6. Identification of hub genes and their correlation with immune infiltration in coronary artery disease through bioinformatics and machine learning methods.
Huang KK; Zheng HL; Li S; Zeng ZY
J Thorac Dis; 2022 Jul; 14(7):2621-2634. PubMed ID: 35928610
[TBL] [Abstract][Full Text] [Related]
7. Latent Pathways Identification by Microarray Expression Profiles in Thyroid-Associated Ophthalmopathy Patients.
Zhao P; Yin H; Tao C; Chen P; Song Y; Yang W; Liu L
Endocr Pathol; 2015 Sep; 26(3):200-10. PubMed ID: 25982257
[TBL] [Abstract][Full Text] [Related]
8. Novel insights into the pathogenesis of thyroid eye disease through ferroptosis-related gene signature and immune infiltration analysis.
Ye Y; Dai L; Mugaanyi J; Fu W; Hu F
Aging (Albany NY); 2024 Mar; 16(7):6008-6034. PubMed ID: 38536014
[TBL] [Abstract][Full Text] [Related]
9. Identification of core genes associated with the anti-atherosclerotic effects of Salvianolic acid B and immune cell infiltration characteristics using bioinformatics analysis.
Jin Z; Zhao H; Luo Y; Li X; Cui J; Yan J; Yang P
BMC Complement Med Ther; 2022 Jul; 22(1):190. PubMed ID: 35842645
[TBL] [Abstract][Full Text] [Related]
10. Construction of the coexpression network involved in the pathogenesis of thyroid eye disease via bioinformatics analysis.
Hu J; Zhou S; Guo W
Hum Genomics; 2022 Sep; 16(1):38. PubMed ID: 36076300
[TBL] [Abstract][Full Text] [Related]
11. Identification of the Relationship between Hub Genes and Immune Cell Infiltration in Vascular Endothelial Cells of Proliferative Diabetic Retinopathy Using Bioinformatics Methods.
Huang J; Zhou Q
Dis Markers; 2022; 2022():7231046. PubMed ID: 35154512
[TBL] [Abstract][Full Text] [Related]
12. Integrative transcriptomics and proteomic analysis of extraocular muscles from patients with thyroid-associated ophthalmopathy.
Wu L; Zhang S; Li X; Yao J; Ling L; Huang X; Hu C; Zhang Y; Sun X; Qin B; Liu G; Zhao C
Exp Eye Res; 2020 Apr; 193():107962. PubMed ID: 32057773
[TBL] [Abstract][Full Text] [Related]
13. Identifying the hub gene and immune infiltration of Parkinson's disease using bioinformatical methods.
Liu SH; Wang YL; Jiang SM; Wan XJ; Yan JH; Liu CF
Brain Res; 2022 Jun; 1785():147879. PubMed ID: 35278479
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Differentially expressed genes in orbital adipose/connective tissue of thyroid-associated orbitopathy.
Wang Y; Liu Y; Cai J; Zong T; Zhang Z; Xie T; Mu T; Wu M; Yang Q; Wang Y; Wang X; Yao Y
PeerJ; 2023; 11():e16569. PubMed ID: 38130930
[TBL] [Abstract][Full Text] [Related]
16. Six potential biomarkers in septic shock: a deep bioinformatics and prospective observational study.
Kong C; Zhu Y; Xie X; Wu J; Qian M
Front Immunol; 2023; 14():1184700. PubMed ID: 37359526
[TBL] [Abstract][Full Text] [Related]
17. Identification of Immune Infiltration and the Potential Biomarkers in Diabetic Peripheral Neuropathy through Bioinformatics and Machine Learning Methods.
Li W; Guo J; Chen J; Yao H; Mao R; Li C; Zhang G; Chen Z; Xu X; Wang C
Biomolecules; 2022 Dec; 13(1):. PubMed ID: 36671424
[TBL] [Abstract][Full Text] [Related]
18. Microarray Data of Lacrimal Gland Implicates Dysregulated Protein Processing in Endoplasmic Reticulum in Graves' Ophthalmopathy.
Tu W; Yao J; Mei Z; Jiang X; Shi Y
Front Endocrinol (Lausanne); 2020; 11():571151. PubMed ID: 33613444
[TBL] [Abstract][Full Text] [Related]
19. Leptin receptor is a key gene involved in the immunopathogenesis of thyroid-associated ophthalmopathy.
Chen Z; Chen Z; Wang J; Zhang M; Wang X; Cuomu D; Shi B; Wang Y
J Cell Mol Med; 2021 Jun; 25(12):5799-5810. PubMed ID: 33988300
[TBL] [Abstract][Full Text] [Related]
20. Identifying the Hub Genes and Immune Cell Infiltration in Synovial Tissue between Osteoarthritic and Rheumatoid Arthritic Patients by Bioinformatic Approach.
Wang J; Fan Q; Yu T; Zhang Y
Curr Pharm Des; 2022; 28(6):497-509. PubMed ID: 34736376
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
