727 related articles for article (PubMed ID: 35719392)
21. Identification of Ferroptosis-related potential biomarkers and immunocyte characteristics in Chronic Thromboembolic Pulmonary Hypertension via bioinformatics analysis.
Lin J; Lin S; Zhang Y; Liu W
BMC Cardiovasc Disord; 2023 Oct; 23(1):504. PubMed ID: 37821869
[TBL] [Abstract][Full Text] [Related]
22. Potential biomarkers and immune cell infiltration involved in aortic valve calcification identified through integrated bioinformatics analysis.
Lv X; Wang X; Liu J; Wang F; Sun M; Fan X; Ye Z; Liu P; Wen J
Front Physiol; 2022; 13():944551. PubMed ID: 36589450
[No Abstract] [Full Text] [Related]
23. 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]
24. Identification of Potential Biomarkers and Immune Infiltration Characteristics in Idiopathic Pulmonary Arterial Hypertension Using Bioinformatics Analysis.
Zeng H; Liu X; Zhang Y
Front Cardiovasc Med; 2021; 8():624714. PubMed ID: 33598484
[No Abstract] [Full Text] [Related]
25. Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.
Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
Front Genet; 2021; 12():571231. PubMed ID: 33767726
[TBL] [Abstract][Full Text] [Related]
26. Gene expression analysis in endometriosis: Immunopathology insights, transcription factors and therapeutic targets.
Geng R; Huang X; Li L; Guo X; Wang Q; Zheng Y; Guo X
Front Immunol; 2022; 13():1037504. PubMed ID: 36532015
[TBL] [Abstract][Full Text] [Related]
27. ACSL1, CH25H, GPCPD1, and PLA2G12A as the potential lipid-related diagnostic biomarkers of acute myocardial infarction.
Liu ZY; Liu F; Cao Y; Peng SL; Pan HW; Hong XQ; Zheng PF
Aging (Albany NY); 2023 Feb; 15(5):1394-1411. PubMed ID: 36863716
[TBL] [Abstract][Full Text] [Related]
28. Identification of key immune genes of osteoporosis based on bioinformatics and machine learning.
Hao S; Xinqi M; Weicheng X; Shiwei Y; Lumin C; Xiao W; Dong L; Jun H
Front Endocrinol (Lausanne); 2023; 14():1118886. PubMed ID: 37361541
[TBL] [Abstract][Full Text] [Related]
29. Identification of DTL as Related Biomarker and Immune Infiltration Characteristics of Nasopharyngeal Carcinoma via Comprehensive Strategies.
Wang H; Zhang J
Int J Gen Med; 2022; 15():2329-2345. PubMed ID: 35264872
[TBL] [Abstract][Full Text] [Related]
30.
Jiang C; Jiang W
Math Biosci Eng; 2022 Feb; 19(4):3787-3802. PubMed ID: 35341274
[No Abstract] [Full Text] [Related]
31. Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis.
Zuo L; Li X; Tan Y; Zhu H; Xiao M
J Ovarian Res; 2021 Feb; 14(1):29. PubMed ID: 33563317
[TBL] [Abstract][Full Text] [Related]
32. DPP6 and MFAP5 are associated with immune infiltration as diagnostic biomarkers in distinguishing uterine leiomyosarcoma from leiomyoma.
Ke Y; You L; Xu Y; Wu D; Lin Q; Wu Z
Front Oncol; 2022; 12():1084192. PubMed ID: 36531033
[TBL] [Abstract][Full Text] [Related]
33. Identification of novel characteristic biomarkers and immune infiltration profile for the anaplastic thyroid cancer via machine learning algorithms.
Li C; Dong X; Yuan Q; Xu G; Di Z; Yang Y; Hou J; Zheng L; Chen W; Wu G
J Endocrinol Invest; 2023 Aug; 46(8):1633-1650. PubMed ID: 36725810
[TBL] [Abstract][Full Text] [Related]
34. Association of the
Chen S; Ke Y; Chen W; Wu S; Zhuang X; Lin Q; Shi Q; Wu Z
Front Mol Biosci; 2023; 10():1209144. PubMed ID: 37635936
[No Abstract] [Full Text] [Related]
35. Identification of hub genes associated with bladder cancer using bioinformatic analyses.
Zheng W; Zhao Y; Wang T; Zhao X; Tan Z
Transl Cancer Res; 2022 May; 11(5):1330-1343. PubMed ID: 35706790
[TBL] [Abstract][Full Text] [Related]
36. [Identify the characteristic genes of dilated cardiomyopathy and immune cell infiltration based on bioinformatics and machine learning].
Jiang C; Zhong G
Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi; 2023 Jan; 39(1):26-33. PubMed ID: 36631012
[TBL] [Abstract][Full Text] [Related]
37. Identification of diagnostic gene biomarkers and immune infiltration in patients with diabetic kidney disease using machine learning strategies and bioinformatic analysis.
Fu S; Cheng Y; Wang X; Huang J; Su S; Wu H; Yu J; Xu Z
Front Med (Lausanne); 2022; 9():918657. PubMed ID: 36250071
[TBL] [Abstract][Full Text] [Related]
38. New insights into the role of mitochondrial metabolic dysregulation and immune infiltration in septic cardiomyopathy by integrated bioinformatics analysis and experimental validation.
Li Y; Yu J; Li R; Zhou H; Chang X
Cell Mol Biol Lett; 2024 Jan; 29(1):21. PubMed ID: 38291374
[TBL] [Abstract][Full Text] [Related]
39. Screening Biomarkers for Systemic Lupus Erythematosus Based on Machine Learning and Exploring Their Expression Correlations With the Ratios of Various Immune Cells.
Zhong Y; Zhang W; Hong X; Zeng Z; Chen Y; Liao S; Cai W; Xu Y; Wang G; Liu D; Tang D; Dai Y
Front Immunol; 2022; 13():873787. PubMed ID: 35757721
[TBL] [Abstract][Full Text] [Related]
40. Identification of anoikis-related genes classification patterns and immune infiltration characterization in ischemic stroke based on machine learning.
Qin X; Yi S; Rong J; Lu H; Ji B; Zhang W; Ding R; Wu L; Chen Z
Front Aging Neurosci; 2023; 15():1142163. PubMed ID: 37032832
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
