104 related articles for article (PubMed ID: 38846934)
1. Identification and validation of biomarkers in membranous nephropathy and pan-cancer analysis.
Yang Y; Zou GM; Wei XS; Zhang Z; Zhuo L; Xu QQ; Li WG
Front Immunol; 2024; 15():1302909. PubMed ID: 38846934
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatic Analysis Reveals Novel Immune-Associated Hub Genes in Human Membranous Nephropathy.
Tang W; Wang Z; Cao Y; Zhang D; Mi X
Genet Test Mol Biomarkers; 2019 Jan; 23(1):23-31. PubMed ID: 30526079
[TBL] [Abstract][Full Text] [Related]
3. Identification of hub genes and their correlation with immune infiltrating cells in membranous nephropathy: an integrated bioinformatics analysis.
Han M; Wang Y; Huang X; Li P; Liang X; Wang R; Bao K
Eur J Med Res; 2023 Nov; 28(1):525. PubMed ID: 37974210
[TBL] [Abstract][Full Text] [Related]
4. Prediction of biomarkers associated with membranous nephropathy: Bioinformatic analysis and experimental validation.
Han M; Wang Y; Huang X; Li P; Shan W; Gu H; Wang H; Zhang Q; Bao K
Int Immunopharmacol; 2024 Jan; 126():111266. PubMed ID: 38029552
[TBL] [Abstract][Full Text] [Related]
5. Identification of biomarkers related to immune and inflammation in membranous nephropathy: comprehensive bioinformatic analysis and validation.
Zhang P; Geng Y; Tang J; Cao Z; Xiang X; Yang K; Chen H
Front Immunol; 2023; 14():1252347. PubMed ID: 37876929
[TBL] [Abstract][Full Text] [Related]
6. Both Peripheral Blood and Urinary miR-195-5p, miR-192-3p, miR-328-5p and Their Target Genes PPM1A, RAB1A and BRSK1 May Be Potential Biomarkers for Membranous Nephropathy.
Zhou G; Zhang X; Wang W; Zhang W; Wang H; Xin G
Med Sci Monit; 2019 Mar; 25():1903-1916. PubMed ID: 30865617
[TBL] [Abstract][Full Text] [Related]
7. Biomarker prediction for membranous nephropathy prognosis by microarray analysis.
Zhou G; Xin G; Zhang W; Zhang X
Nephrology (Carlton); 2019 May; 24(5):526-533. PubMed ID: 30084529
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Comprehensive analysis of location-specific hub genes related to the pathogenesis of colon cancer.
Shi C; Ding K; Li KZ; Long L; Li JL; Hu BL
Med Oncol; 2020 Aug; 37(9):77. PubMed ID: 32743717
[TBL] [Abstract][Full Text] [Related]
10. Identification of biomarkers associated with extracellular vesicles based on an integrative pan-cancer bioinformatics analysis.
Wang Q; Yu C
Med Oncol; 2020 Aug; 37(9):79. PubMed ID: 32749536
[TBL] [Abstract][Full Text] [Related]
11. Identification of key genes and immune infiltration in osteoarthritis through analysis of zinc metabolism-related genes.
You X; Ye Y; Lin S; Zhang Z; Guo H; Ye H
BMC Musculoskelet Disord; 2024 Mar; 25(1):227. PubMed ID: 38509535
[TBL] [Abstract][Full Text] [Related]
12. Identification of Lipotoxicity-Related Biomarkers in Diabetic Nephropathy Based on Bioinformatic Analysis.
Nie H; Yang H; Cheng L; Yu J
J Diabetes Res; 2024; 2024():5550812. PubMed ID: 38774257
[No Abstract] [Full Text] [Related]
13. Single-cell and bulk RNAseq unveils the immune infiltration landscape and targeted therapeutic biomarkers of psoriasis.
Deng W; Yan Y; Shi C; Sui D
Front Genet; 2024; 15():1365273. PubMed ID: 38699235
[TBL] [Abstract][Full Text] [Related]
14. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
Yu-Jing T; Wen-Jing T; Biao T
Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
[TBL] [Abstract][Full Text] [Related]
15. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
16. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
[TBL] [Abstract][Full Text] [Related]
17. Integrative bioinformatics and experimental validation of hub genetic markers in acne vulgaris: Toward personalized diagnostic and therapeutic strategies.
Lin Q; Cai B; Ke R; Chen L; Ni X; Liu H; Lin X; Wang B; Shan X
J Cosmet Dermatol; 2024 May; 23(5):1777-1799. PubMed ID: 38268224
[TBL] [Abstract][Full Text] [Related]
18. Identification of hub genes associated with prognosis, diagnosis, immune infiltration and therapeutic drug in liver cancer by integrated analysis.
Lei X; Zhang M; Guan B; Chen Q; Dong Z; Wang C
Hum Genomics; 2021 Jun; 15(1):39. PubMed ID: 34187556
[TBL] [Abstract][Full Text] [Related]
19. Machine learning and weighted gene co-expression network analysis identify a three-gene signature to diagnose rheumatoid arthritis.
Wu YK; Liu CD; Liu C; Wu J; Xie ZG
Front Immunol; 2024; 15():1387311. PubMed ID: 38711508
[TBL] [Abstract][Full Text] [Related]
20. Identification and validation of potential diagnostic signature and immune cell infiltration for HIRI based on cuproptosis-related genes through bioinformatics analysis and machine learning.
Xiao F; Huang G; Yuan G; Li S; Wang Y; Tan Z; Liu Z; Tomlinson S; He S; Ouyang G; Zeng Y
Front Immunol; 2024; 15():1372441. PubMed ID: 38690269
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
