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459 related items for PubMed ID: 37783761
1. 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 02; 13(1):16559. PubMed ID: 37783761 [Abstract] [Full Text] [Related]
2. Identification of novel biomarkers and immune infiltration characteristics of ischemic stroke based on comprehensive bioinformatic analysis and machine learning. Hu S, Cai J, Chen S, Wang Y, Ren L. Biochem Biophys Rep; 2024 Mar 02; 37():101595. PubMed ID: 38371524 [Abstract] [Full Text] [Related]
3. Identification of TYR, TYRP1, DCT and LARP7 as related biomarkers and immune infiltration characteristics of vitiligo via comprehensive strategies. Zhang J, Yu R, Guo X, Zou Y, Chen S, Zhou K, Chen Y, Li Y, Gao S, Wu Y. Bioengineered; 2021 Dec 02; 12(1):2214-2227. PubMed ID: 34107850 [Abstract] [Full Text] [Related]
4. Identification of diagnostic hub genes related to neutrophils and infiltrating immune cell alterations in idiopathic pulmonary fibrosis. Lin Y, Lai X, Huang S, Pu L, Zeng Q, Wang Z, Huang W. Front Immunol; 2023 Dec 02; 14():1078055. PubMed ID: 37334348 [Abstract] [Full Text] [Related]
5. Machine learning-based prediction of candidate gene biomarkers correlated with immune infiltration in patients with idiopathic pulmonary fibrosis. Zhang Y, Wang C, Xia Q, Jiang W, Zhang H, Amiri-Ardekani E, Hua H, Cheng Y. Front Med (Lausanne); 2023 Dec 02; 10():1001813. PubMed ID: 36860337 [Abstract] [Full Text] [Related]
8. Identification and validation of autophagy-related gene expression for predicting prognosis in patients with idiopathic pulmonary fibrosis. Huang G, Xu X, Ju C, Zhong N, He J, Tang XX. Front Immunol; 2022 Dec 02; 13():997138. PubMed ID: 36211385 [Abstract] [Full Text] [Related]
9. 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 Dec 02; 9():918657. PubMed ID: 36250071 [Abstract] [Full Text] [Related]
11. Identification of CFH and FHL2 as biomarkers for idiopathic pulmonary fibrosis. Liu X, Yang M, Li J, Liu H, Dong Y, Zheng J, Huang Y. Front Med (Lausanne); 2024 Dec 02; 11():1363643. PubMed ID: 38784225 [Abstract] [Full Text] [Related]
13. 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 19; 15(1):64. PubMed ID: 35305619 [Abstract] [Full Text] [Related]
14. A potential three-gene-based diagnostic signature for idiopathic pulmonary fibrosis. Wu Y, Zhong L, Qiu L, Dong L, Yang L, Chen L. Front Genet; 2022 Mar 19; 13():985217. PubMed ID: 36685820 [Abstract] [Full Text] [Related]
15. 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 11; 23(1):504. PubMed ID: 37821869 [Abstract] [Full Text] [Related]
17. Bioinformatics analysis of effective biomarkers and immune infiltration in type 2 diabetes with cognitive impairment and aging. Wang Q, Yang Y. Sci Rep; 2024 Oct 07; 14(1):23279. PubMed ID: 39375405 [Abstract] [Full Text] [Related]
18. 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 Oct 07; 13():944551. PubMed ID: 36589450 [Abstract] [Full Text] [Related]
19. Diagnostic model constructed by five EMT-related genes for renal fibrosis and reflecting the condition of immune-related cells. Guo Y, Yuan Z, Hu Z, Gao Y, Guo H, Zhu H, Hong K, Cen K, Mai Y, Bai Y, Yang X. Front Immunol; 2023 Oct 07; 14():1161436. PubMed ID: 37266443 [Abstract] [Full Text] [Related]
20. Identification of diagnostic signatures associated with immune infiltration in Alzheimer's disease by integrating bioinformatic analysis and machine-learning strategies. Tian Y, Lu Y, Cao Y, Dang C, Wang N, Tian K, Luo Q, Guo E, Luo S, Wang L, Li Q. Front Aging Neurosci; 2022 Oct 07; 14():919614. PubMed ID: 35966794 [Abstract] [Full Text] [Related] Page: [Next] [New Search]