345 related articles for article (PubMed ID: 36110430)
21. Discovery and Validation of Key Biomarkers Based on Immune Infiltrates in Alzheimer's Disease.
Liu Z; Li H; Pan S
Front Genet; 2021; 12():658323. PubMed ID: 34276768
[TBL] [Abstract][Full Text] [Related]
22. Renal tubular gen e biomarkers identification based on immune infiltrates in focal segmental glomerulosclerosis.
Bai J; Pu X; Zhang Y; Dai E
Ren Fail; 2022 Dec; 44(1):966-986. PubMed ID: 35713363
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. [Screen of key characteristic genes of nasopharyngeal carcinoma (NPC) base on machine learning and analysis of their correlation with immune cells].
Zhang H; Ma J; An S; Xu L; Lu J; Jiang C
Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi; 2023 Number; 39(11):988-995. PubMed ID: 37980550
[TBL] [Abstract][Full Text] [Related]
25. Bioinformatics analysis of diagnostic biomarkers for Alzheimer's disease in peripheral blood based on sex differences and support vector machine algorithm.
Ji W; An K; Wang C; Wang S
Hereditas; 2022 Oct; 159(1):38. PubMed ID: 36195955
[TBL] [Abstract][Full Text] [Related]
26. Identification ferroptosis-related hub genes and diagnostic model in Alzheimer's disease.
Zhao H; Wang J; Li Z; Wang S; Yu G; Wang L
Front Mol Neurosci; 2023; 16():1280639. PubMed ID: 37965040
[TBL] [Abstract][Full Text] [Related]
27. Analysis of immune cell components and immune-related gene expression profiles in peripheral blood of patients with type 1 diabetes mellitus.
Lin J; Lu Y; Wang B; Jiao P; Ma J
J Transl Med; 2021 Jul; 19(1):319. PubMed ID: 34311758
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Machine learning-based screening of the diagnostic genes and their relationship with immune-cell infiltration in patients with lung adenocarcinoma.
Wang S; Wang Q; Fan B; Gong J; Sun L; Hu B; Wang D
J Thorac Dis; 2022 Mar; 14(3):699-711. PubMed ID: 35399247
[TBL] [Abstract][Full Text] [Related]
30. Integrated Bioinformatic Analysis and Validation Identifies Immune Microenvironment-Related Potential Biomarkers in Alzheimer's Disease.
Yang F; Zhang N; Ou GY; Xu SW
J Prev Alzheimers Dis; 2024; 11(2):495-506. PubMed ID: 38374756
[TBL] [Abstract][Full Text] [Related]
31. Identification of Crucial Hub Genes and Differential T Cell Infiltration in Idiopathic Pulmonary Arterial Hypertension Using Bioinformatics Strategies.
Yang X; Wang C; Lin Y; Zhang P
Front Mol Biosci; 2022; 9():800888. PubMed ID: 35127829
[No Abstract] [Full Text] [Related]
32. Identification of oxidative stress-related genes differentially expressed in Alzheimer's disease and construction of a hub gene-based diagnostic model.
Zhang Y; Kiryu H
Sci Rep; 2023 Apr; 13(1):6817. PubMed ID: 37100862
[TBL] [Abstract][Full Text] [Related]
33. Interleukin 2 receptor subunit beta as a novel hub gene plays a potential role in the immune microenvironment of abdominal aortic aneurysms.
Gao H; Wang L; Ren J; Liu Y; Liang S; Zhang B; Sun X
Gene; 2022 Jun; 827():146472. PubMed ID: 35381314
[TBL] [Abstract][Full Text] [Related]
34. Identification of hub biomarkers of myocardial infarction by single-cell sequencing, bioinformatics, and machine learning.
Zhang Q; Guo Y; Zhang B; Liu H; Peng Y; Wang D; Zhang D
Front Cardiovasc Med; 2022; 9():939972. PubMed ID: 35958412
[TBL] [Abstract][Full Text] [Related]
35. Exploring the Key Genes and Identification of Potential Diagnosis Biomarkers in Alzheimer's Disease Using Bioinformatics Analysis.
Yu W; Yu W; Yang Y; Lü Y
Front Aging Neurosci; 2021; 13():602781. PubMed ID: 34194312
[TBL] [Abstract][Full Text] [Related]
36. Six mitophagy-related hub genes as peripheral blood biomarkers of Alzheimer's disease and their immune cell infiltration correlation.
Zhao K; Wu Y; Zhao D; Zhang H; Lin J; Wang Y
Front Neurosci; 2023; 17():1125281. PubMed ID: 37274215
[TBL] [Abstract][Full Text] [Related]
37. Ferroptosis-related biomarkers for Alzheimer's disease: Identification by bioinformatic analysis in hippocampus.
Wang B; Fu C; Wei Y; Xu B; Yang R; Li C; Qiu M; Yin Y; Qin D
Front Cell Neurosci; 2022; 16():1023947. PubMed ID: 36467613
[TBL] [Abstract][Full Text] [Related]
38. HSPA1A, HSPA2, and HSPA8 Are Potential Molecular Biomarkers for Prognosis among HSP70 Family in Alzheimer's Disease.
Dong Y; Li T; Ma Z; Zhou C; Wang X; Li J
Dis Markers; 2022; 2022():9480398. PubMed ID: 36246562
[TBL] [Abstract][Full Text] [Related]
39. Identification of diagnostic biomarkers in Alzheimer's disease by integrated bioinformatic analysis and machine learning strategies.
Jin B; Cheng X; Fei G; Sang S; Zhong C
Front Aging Neurosci; 2023; 15():1169620. PubMed ID: 37434738
[TBL] [Abstract][Full Text] [Related]
40. Bioinformatic identification and experiment validation reveal 6 hub genes, promising diagnostic and therapeutic targets for Alzheimer's disease.
Cao W; Ji Z; Zhu S; Wang M; Sun R
BMC Med Genomics; 2024 Jan; 17(1):6. PubMed ID: 38167011
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
