115 related articles for article (PubMed ID: 38416665)
21. Bioinformatic analysis and machine learning to identify the diagnostic biomarkers and immune infiltration in adenomyosis.
Liu D; Yin X; Guan X; Li K
Front Genet; 2022; 13():1082709. PubMed ID: 36685847
[No Abstract] [Full Text] [Related]
22. 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]
23. 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]
24. Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms.
Wang CJ; Hu YX; Bai TY; Li J; Wang H; Lv XL; Zhang MD; Chang FH
Medicine (Baltimore); 2024 May; 103(20):e38001. PubMed ID: 38758850
[TBL] [Abstract][Full Text] [Related]
25. Identifying potential biomarkers of idiopathic pulmonary fibrosis through machine learning analysis.
Wu Z; Chen H; Ke S; Mo L; Qiu M; Zhu G; Zhu W; Liu L
Sci Rep; 2023 Oct; 13(1):16559. PubMed ID: 37783761
[TBL] [Abstract][Full Text] [Related]
26. The heat shock protein DNAJB2 as a novel biomarker for essential thrombocythemia diagnosis associated with immune infiltration.
Chen H; Lin C; Xue HM; Chen C; Yang M
Thromb Res; 2023 Mar; 223():131-138. PubMed ID: 36746103
[TBL] [Abstract][Full Text] [Related]
27. Identification of Immune Infiltration and the Potential Biomarkers in Diabetic Peripheral Neuropathy through Bioinformatics and Machine Learning Methods.
Li W; Guo J; Chen J; Yao H; Mao R; Li C; Zhang G; Chen Z; Xu X; Wang C
Biomolecules; 2022 Dec; 13(1):. PubMed ID: 36671424
[TBL] [Abstract][Full Text] [Related]
28. Machine learning to identify immune-related biomarkers of rheumatoid arthritis based on WGCNA network.
Chen Y; Liao R; Yao Y; Wang Q; Fu L
Clin Rheumatol; 2022 Apr; 41(4):1057-1068. PubMed ID: 34767108
[TBL] [Abstract][Full Text] [Related]
29. Diagnostic gene biomarkers for predicting immune infiltration in endometriosis.
Xie C; Lu C; Liu Y; Liu Z
BMC Womens Health; 2022 May; 22(1):184. PubMed ID: 35585523
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation.
Wu LD; Li F; Chen JY; Zhang J; Qian LL; Wang RX
BMC Med Genomics; 2022 Mar; 15(1):64. PubMed ID: 35305619
[TBL] [Abstract][Full Text] [Related]
32. Integrated Multichip Analysis and WGCNA Identify Potential Diagnostic Markers in the Pathogenesis of ST-Elevation Myocardial Infarction.
Liang Y; Wang W; Huang Q; Chen H
Contrast Media Mol Imaging; 2022; 2022():7343412. PubMed ID: 35475279
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. BATF2 and PDK4 as diagnostic molecular markers of sarcoidosis and their relationship with immune infiltration.
He J; Li X; Zhou J; Hu R
Ann Transl Med; 2022 Jan; 10(2):106. PubMed ID: 35282063
[TBL] [Abstract][Full Text] [Related]
35. Bioinformatics analysis of the immune cell infiltration characteristics and correlation with crucial diagnostic markers in pulmonary arterial hypertension.
Lian G; You J; Lin W; Gao G; Xu C; Wang H; Luo L
BMC Pulm Med; 2023 Aug; 23(1):300. PubMed ID: 37582718
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Identifying biomarkers associated with the diagnosis of ulcerative colitis via bioinformatics and machine learning.
Wang Y; Huang J; Zhang J; Wang F; Tang X
Math Biosci Eng; 2023 Apr; 20(6):10741-10756. PubMed ID: 37322958
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Bioinformatics and Machine Learning Methods to Identify FN1 as a Novel Biomarker of Aortic Valve Calcification.
Xiong T; Han S; Pu L; Zhang TC; Zhan X; Fu T; Dai YH; Li YX
Front Cardiovasc Med; 2022; 9():832591. PubMed ID: 35295271
[TBL] [Abstract][Full Text] [Related]
40. Identification of Diagnostic Signatures and Immune Cell Infiltration Characteristics in Rheumatoid Arthritis by Integrating Bioinformatic Analysis and Machine-Learning Strategies.
Yu R; Zhang J; Zhuo Y; Hong X; Ye J; Tang S; Zhang Y
Front Immunol; 2021; 12():724934. PubMed ID: 34691030
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]