186 related articles for article (PubMed ID: 38718074)
21. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
Cheng Q; Chen X; Wu H; Du Y
J Transl Med; 2021 Jan; 19(1):18. PubMed ID: 33407587
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Identification of key genes in the pathogenesis of preeclampsia via bioinformatic analysis and experimental verification.
Gao Y; Wu Z; Liu S; Chen Y; Zhao G; Lin HP
Front Endocrinol (Lausanne); 2023; 14():1190012. PubMed ID: 37576963
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. Identification of key biomarkers and immune infiltration in systemic lupus erythematosus by integrated bioinformatics analysis.
Zhao X; Zhang L; Wang J; Zhang M; Song Z; Ni B; You Y
J Transl Med; 2021 Jan; 19(1):35. PubMed ID: 33468161
[TBL] [Abstract][Full Text] [Related]
26. Bioinformatics methods in biomarkers of preeclampsia and associated potential drug applications.
Peng Y; Hong H; Gao N; Wan A; Ma Y
BMC Genomics; 2022 Oct; 23(1):711. PubMed ID: 36258174
[TBL] [Abstract][Full Text] [Related]
27. Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson's disease.
Chen X; Cao W; Zhuang Y; Chen S; Li X
Brain Res Bull; 2021 Dec; 177():53-63. PubMed ID: 34536521
[TBL] [Abstract][Full Text] [Related]
28. Identification of hub biomarkers and immune cell infiltration characteristics of polymyositis by bioinformatics analysis.
Jia Q; Hao RJ; Lu XJ; Sun SQ; Shao JJ; Su X; Huang QF
Front Immunol; 2022; 13():1002500. PubMed ID: 36225941
[TBL] [Abstract][Full Text] [Related]
29. Transcriptomic profiling in hypoxia-induced trophoblast cells for preeclampsia.
Liu Z; Yu Y; Zhang X; Wang C; Pei J; Gu W
Placenta; 2023 May; 136():8-17. PubMed ID: 37001424
[TBL] [Abstract][Full Text] [Related]
30. Identification and development of a novel 5-gene diagnostic model based on immune infiltration analysis of osteoarthritis.
Han Y; Wu J; Gong Z; Zhou Y; Li H; Wang B; Qian Q
J Transl Med; 2021 Dec; 19(1):522. PubMed ID: 34949204
[TBL] [Abstract][Full Text] [Related]
31. Gene crosstalk between COVID-19 and preeclampsia revealed by blood transcriptome analysis.
Chu Y; Li M; Sun M; Wang J; Xin W; Xu L
Front Immunol; 2023; 14():1243450. PubMed ID: 38259479
[TBL] [Abstract][Full Text] [Related]
32. Expression profiles and functions of ferroptosis-related genes in the placental tissue samples of early- and late-onset preeclampsia patients.
Yang N; Wang Q; Ding B; Gong Y; Wu Y; Sun J; Wang X; Liu L; Zhang F; Du D; Li X
BMC Pregnancy Childbirth; 2022 Jan; 22(1):87. PubMed ID: 35100981
[TBL] [Abstract][Full Text] [Related]
33. Immune cell infiltration landscape and immune marker molecular typing in preeclampsia.
Meng Y; Li C; Liu CX
Bioengineered; 2021 Dec; 12(1):540-554. PubMed ID: 33535891
[TBL] [Abstract][Full Text] [Related]
34. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
Li L; Lv J; He Y; Wang Z
BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Identification of mitophagy-related biomarkers in human osteoporosis based on a machine learning model.
Su Y; Yu G; Li D; Lu Y; Ren C; Xu Y; Yang Y; Zhang K; Ma T; Li Z
Front Physiol; 2023; 14():1289976. PubMed ID: 38260098
[No Abstract] [Full Text] [Related]
37. 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]
38. Identification and validation of oxidative stress-related genes in sepsis-induced myopathy.
Zhang N; Huang D; Li X; Yan J; Yan Q; Ge W; Zhou J
Medicine (Baltimore); 2024 May; 103(18):e37933. PubMed ID: 38701300
[TBL] [Abstract][Full Text] [Related]
39. Identification of Effective Diagnostic Biomarkers and Immune Cell Infiltration in Atopic Dermatitis by Comprehensive Bioinformatics Analysis.
Li C; Lu Y; Han X
Front Mol Biosci; 2022; 9():917077. PubMed ID: 35911963
[No Abstract] [Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
