148 related articles for article (PubMed ID: 38645867)
1. [Screening for Characteristic Genes of Different Traditional Chinese Medicine Syndromes of Psoriasis Vulgaris: A Study Based on Bioinformatics and Machine Learning].
Liu X; Jia H; Wang L; Wang Z; Xu M; Li Y; Wang R
Sichuan Da Xue Xue Bao Yi Xue Ban; 2024 Mar; 55(2):337-345. PubMed ID: 38645867
[TBL] [Abstract][Full Text] [Related]
2. Correlation analysis of Treg/Th17 cells and related cytokines in patients with psoriasis vulgaris.
Qu T; Mei C; Zeng Y; Li L; Duan X
J Tradit Chin Med; 2019 Oct; 39(5):700-706. PubMed ID: 32186120
[TBL] [Abstract][Full Text] [Related]
3. Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.
Liu L; Yin P; Yang R; Zhang G; Wu C; Zheng Y; Wu S; Liu M
Front Immunol; 2024; 15():1351908. PubMed ID: 38863714
[TBL] [Abstract][Full Text] [Related]
4. Expression of T-helper 17 cells and signal transducers in patients with psoriasis vulgaris of blood-heat syndrome and blood-stasis syndrome.
Fan B; Li X; Ze K; Xu R; Shi RF; Geng L; Li FL; Wang YF; Chen J; Li B
Chin J Integr Med; 2015 Jan; 21(1):10-6. PubMed ID: 25246139
[TBL] [Abstract][Full Text] [Related]
5. The immune status of patients with psoriasis vulgaris of blood-stasis syndrome and blood-dryness syndrome: a qualitative evidence synthesis.
Yan JT; Wang QG; Liu XQ; Li B; Ru Y; Hong S; Sun XY; Liu M; Li X
Ann Palliat Med; 2020 Jul; 9(4):1382-1395. PubMed ID: 32692210
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Immune-associated biomarkers identification for diagnosing carotid plaque progression with uremia through systematical bioinformatics and machine learning analysis.
Liu C; Tang L; Zhou Y; Tang X; Zhang G; Zhu Q; Zhou Y
Eur J Med Res; 2023 Feb; 28(1):92. PubMed ID: 36823662
[TBL] [Abstract][Full Text] [Related]
8. Discovery of biomarkers in the psoriasis through machine learning and dynamic immune infiltration in three types of skin lesions.
Zhou X; Zhou H; Luo X; Wu RF
Front Immunol; 2024; 15():1388690. PubMed ID: 38803495
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Bioinformatics analysis of diagnostic biomarkers for Alzheimer's disease in peripheral blood based on sex differences and support vector machine algorithm.
Ji W; An K; Wang C; Wang S
Hereditas; 2022 Oct; 159(1):38. PubMed ID: 36195955
[TBL] [Abstract][Full Text] [Related]
11. Systematical analysis of underlying markers associated with Marfan syndrome via integrated bioinformatics and machine learning strategies.
Wang G; Liu C; Wu Q; Wang J; Tang X; Wu Z; Tang L; Zhou Y
J Biomol Struct Dyn; 2024 Jul; 42(11):5713-5724. PubMed ID: 37449753
[TBL] [Abstract][Full Text] [Related]
12. Six potential biomarkers in septic shock: a deep bioinformatics and prospective observational study.
Kong C; Zhu Y; Xie X; Wu J; Qian M
Front Immunol; 2023; 14():1184700. PubMed ID: 37359526
[TBL] [Abstract][Full Text] [Related]
13. Exploration of Biomarkers of Psoriasis through Combined Multiomics Analysis.
Xing L; Wu T; Yu L; Zhou N; Zhang Z; Pu Y; Wu J; Shu H
Mediators Inflamm; 2022; 2022():7731082. PubMed ID: 36193416
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. [Screening of key genes and pathways of ischemic stroke and prediction of traditional Chinese medicines based on bioinformatics].
Cao Y; Kong LB; Huang X; Li XL; Chang JL; Gao Y
Zhongguo Zhong Yao Za Zhi; 2021 Apr; 46(7):1803-1812. PubMed ID: 33982485
[TBL] [Abstract][Full Text] [Related]
16. [Research on different expressions of peripheral blood Th1/Th2 cells in psoriasis patients of blood heat syndrome and of blood stasis syndrome].
Chen J; Cao XX; Xu R; Li X; Li FL; Fan B; Wang YF; Li F; Li B
Zhongguo Zhong Xi Yi Jie He Za Zhi; 2014 Jan; 34(1):46-50. PubMed ID: 24520787
[TBL] [Abstract][Full Text] [Related]
17. Identification of immune-associated genes in diagnosing osteoarthritis with metabolic syndrome by integrated bioinformatics analysis and machine learning.
Li J; Wang G; Xv X; Li Z; Shen Y; Zhang C; Zhang X
Front Immunol; 2023; 14():1134412. PubMed ID: 37138862
[TBL] [Abstract][Full Text] [Related]
18. Lasso algorithm and support vector machine strategy to screen pulmonary arterial hypertension gene diagnostic markers.
Jiang C; Jiang W
Scott Med J; 2023 Feb; 68(1):21-31. PubMed ID: 36253715
[TBL] [Abstract][Full Text] [Related]
19. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
Hammad A; Elshaer M; Tang X
Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
[TBL] [Abstract][Full Text] [Related]
20. Metabonomics Study on Serum Characteristic Metabolites of Psoriasis Vulgaris Patients With Blood-Stasis Syndrome.
Li L; Yao DN; Lu Y; Deng JW; Wei JA; Yan YH; Deng H; Han L; Lu CJ
Front Pharmacol; 2020; 11():558731. PubMed ID: 33312124
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]