198 related articles for article (PubMed ID: 36631012)
1. [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]
2. Bioinformatic analysis of related immune cell infiltration and key genes in the progression of osteonecrosis of the femoral head.
Duan X; Xing F; Zhang J; Li H; Chen Y; Lei Y; Zhao Y; Cao R; Guan H; Kong N; Li Y; Wu Z; Wang K; Tian R; Yang P
Front Immunol; 2023; 14():1340446. PubMed ID: 38283345
[TBL] [Abstract][Full Text] [Related]
3.
Jiang C; Jiang W
Math Biosci Eng; 2022 Feb; 19(4):3787-3802. PubMed ID: 35341274
[No Abstract] [Full Text] [Related]
4. Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis.
Wang L; Yang Z; Yu H; Lin W; Wu R; Yang H; Yang K
Front Immunol; 2022; 13():839197. PubMed ID: 36532018
[TBL] [Abstract][Full Text] [Related]
5. 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]
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. 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]
8. [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]
9. 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]
10. Screening for immune-related biomarkers associated with myasthenia gravis and dilated cardiomyopathy based on bioinformatics analysis and machine learning.
Zhou G; Wang S; Lin L; Lu K; Lin Z; Zhang Z; Zhang Y; Cheng D; Szeto K; Peng R; Luo C
Heliyon; 2024 Apr; 10(7):e28446. PubMed ID: 38571624
[TBL] [Abstract][Full Text] [Related]
11. A comprehensive analysis of m6A/m7G/m5C/m1A-related gene expression and immune infiltration in liver ischemia-reperfusion injury by integrating bioinformatics and machine learning algorithms.
Meng Z; Li X; Lu S; Hua Y; Yin B; Qian B; Li Z; Zhou Y; Sergeeva I; Fu Y; Ma Y
Eur J Med Res; 2024 Jun; 29(1):326. PubMed ID: 38867322
[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. 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]
14. 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]
15. Exploring the pathogenesis and immune infiltration in dilated cardiomyopathy complicated with atrial fibrillation by bioinformatics analysis.
Gan T; Hu J; Aledan AKO; Liu W; Li C; Lu S; Wang Y; Xu Q; Wang Y; Wang Z
Front Immunol; 2023; 14():1049351. PubMed ID: 36733486
[TBL] [Abstract][Full Text] [Related]
16. Integrated Bioinformatics Algorithms and Experimental Validation to Explore Robust Biomarkers and Landscape of Immune Cell Infiltration in Dilated Cardiomyopathy.
Zhang Q; Fan M; Cao X; Geng H; Su Y; Wu C; Pan H; Pan M
Front Cardiovasc Med; 2022; 9():809470. PubMed ID: 35433865
[TBL] [Abstract][Full Text] [Related]
17. Machine learning-based prediction of diagnostic markers for Graves' orbitopathy.
Cai Y; Su H; Si Y; Ni N
Endocrine; 2023 Aug; 81(2):277-289. PubMed ID: 37059863
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Machine learning-based screening of the diagnostic genes and their relationship with immune-cell infiltration in patients with lung adenocarcinoma.
Wang S; Wang Q; Fan B; Gong J; Sun L; Hu B; Wang D
J Thorac Dis; 2022 Mar; 14(3):699-711. PubMed ID: 35399247
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
