227 related articles for article (PubMed ID: 38229693)
1. Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease.
Zhang YJ; Huang C; Zu XG; Liu JM; Li YJ
J Inflamm Res; 2024; 17():223-249. PubMed ID: 38229693
[TBL] [Abstract][Full Text] [Related]
2. Immune-related potential biomarkers and therapeutic targets in coronary artery disease.
Liu C; Liu J; Zhang Y; Wang X; Guan Y
Front Cardiovasc Med; 2022; 9():1055422. PubMed ID: 36684561
[TBL] [Abstract][Full Text] [Related]
3. Classification and clinical significance of immunogenic cell death-related genes in Plasmodium falciparum infection determined by integrated bioinformatics analysis and machine learning.
Zhang YH; Xie LH; Li J; Qi YW; Shi JJ
Malar J; 2024 Feb; 23(1):48. PubMed ID: 38360586
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of diagnostic biomarkers and immune cell infiltration in coronary artery disease by machine learning, nomogram, and molecular docking.
Jiang X; Luo Y; Li Z; Zhang H; Xu Z; Wang D
Front Immunol; 2024; 15():1368904. PubMed ID: 38629070
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a model based on immunogenic cell death related genes to predict the prognosis and immune response to bladder urothelial carcinoma.
Chen L; Lin J; Wen Y; Chen Y; Chen CB
Front Oncol; 2023; 13():1291720. PubMed ID: 38023241
[TBL] [Abstract][Full Text] [Related]
7. Immune Cell Infiltration Analysis Based on Bioinformatics Reveals Novel Biomarkers of Coronary Artery Disease.
He T; Muhetaer M; Wu J; Wan J; Hu Y; Zhang T; Wang Y; Wang Q; Cai H; Lu Z
J Inflamm Res; 2023; 16():3169-3184. PubMed ID: 37525634
[TBL] [Abstract][Full Text] [Related]
8. An immunogenic cell death-related regulators classification patterns and immune microenvironment infiltration characterization in intracranial aneurysm based on machine learning.
Turhon M; Maimaiti A; Gheyret D; Axier A; Rexiati N; Kadeer K; Su R; Wang Z; Chen X; Cheng X; Zhang Y; Aisha M
Front Immunol; 2022; 13():1001320. PubMed ID: 36248807
[TBL] [Abstract][Full Text] [Related]
9. Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer.
Zhang W; Liu T; Jiang L; Chen J; Li Q; Wang J
Front Genet; 2022; 13():1001239. PubMed ID: 36425071
[No Abstract] [Full Text] [Related]
10. Identification of Biomarkers Associated With CD8+ T Cells in Coronary Artery Disease and Their Pan-Cancer Analysis.
Zhao S; Wu Y; Wei Y; Xu X; Zheng J
Front Immunol; 2022; 13():876616. PubMed ID: 35799780
[TBL] [Abstract][Full Text] [Related]
11. Analysis and validation of potential ICD-related biomarkers in development of myopia using machine learning.
Zhang Y; Liu Y; An M
Int Ophthalmol; 2024 Feb; 44(1):116. PubMed ID: 38411755
[TBL] [Abstract][Full Text] [Related]
12. Identification of four-gene signature to diagnose osteoarthritis through bioinformatics and machine learning methods.
Chen Z; Wang W; Zhang Y; Xue X; Hua Y
Cytokine; 2023 Sep; 169():156300. PubMed ID: 37454542
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics-based identification and validation of hub genes associated with aging in patients with coronary artery disease.
Zhang W; Zhao M; Xin L; Qi X; Cao P; Wang J; Li X
Aging (Albany NY); 2023 Dec; 15(24):14830-14844. PubMed ID: 38097358
[TBL] [Abstract][Full Text] [Related]
14. Identification of Key Biomarkers Associated with Immunogenic Cell Death and Their Regulatory Mechanisms in Severe Acute Pancreatitis Based on WGCNA and Machine Learning.
Wang Z; Liu J; Wang Y; Guo H; Li F; Cao Y; Zhao L; Chen H
Int J Mol Sci; 2023 Feb; 24(3):. PubMed ID: 36769358
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of hub cuproptosis related genes and immune cell infiltration characteristics in periodontitis.
Liu S; Ge J; Chu Y; Cai S; Wu J; Gong A; Zhang J
Front Immunol; 2023; 14():1164667. PubMed ID: 37215133
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning.
Ji Y; Lin Z; Li G; Tian X; Wu Y; Wan J; Liu T; Xu M
Front Genet; 2023; 14():1136783. PubMed ID: 37732314
[No Abstract] [Full Text] [Related]
19. Identification of diagnostic biomarkers and therapeutic targets in peripheral immune landscape from coronary artery disease.
Feng X; Zhang Y; Du M; Li S; Ding J; Wang J; Wang Y; Liu P
J Transl Med; 2022 Sep; 20(1):399. PubMed ID: 36064568
[TBL] [Abstract][Full Text] [Related]
20. Identification of immune- and autophagy-related genes and effective diagnostic biomarkers in endometriosis: a bioinformatics analysis.
Ji X; Huang C; Mao H; Zhang Z; Zhang X; Yue B; Li X; Wu Q
Ann Transl Med; 2022 Dec; 10(24):1397. PubMed ID: 36660690
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
