437 related articles for article (PubMed ID: 35264872)
1. 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]
2. 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; 12(1):2214-2227. PubMed ID: 34107850
[TBL] [Abstract][Full Text] [Related]
3. [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]
4. Differentially Infiltrated Identification of Novel Diagnostic Biomarkers Associated with Immune Infiltration in Nasopharyngeal Carcinoma.
Gao P; Lu W; Hu S; Zhao K
Dis Markers; 2022; 2022():3934704. PubMed ID: 36438903
[TBL] [Abstract][Full Text] [Related]
5. 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; 37():101595. PubMed ID: 38371524
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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; 14():919614. PubMed ID: 35966794
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. In Silico Identification of Key Genes and Immune Infiltration Characteristics in Epicardial Adipose Tissue from Patients with Coronary Artery Disease.
Deng Y; Wang X; Liu Z; Lv X; Ma B; Nie Q; Fan X; Yang Y; Ye Z; Liu P; Wen J
Biomed Res Int; 2022; 2022():5610317. PubMed ID: 36345357
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning.
Liu J; Liu L; Antwi PA; Luo Y; Liang F
Front Genet; 2022; 13():858466. PubMed ID: 35719392
[No Abstract] [Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]