167 related articles for article (PubMed ID: 38715824)
1. Unveiling the unexplored novel signatures for osteoporosis via a detailed bioinformatics and molecular experiments based approach.
Zhou H; Gul Y; Hameed Y; Alhomrani M; Alghamdi SA; Almalki AA; Alsuwat MA; ALSuhaymi N; Naz R; Chen G
Am J Transl Res; 2024; 16(4):1306-1321. PubMed ID: 38715824
[TBL] [Abstract][Full Text] [Related]
2. Up-regulated and hypomethylated genes are causative factors and diagnostic markers of osteoporosis.
Minbo J; Feng C; Wen H; Jamil M; Zhang H; Abdel-Maksoud MA; Zakri AM; Almanaa TN; Alfuraydi AA; Almunqedhi BM
Am J Transl Res; 2023; 15(10):6042-6057. PubMed ID: 37969207
[TBL] [Abstract][Full Text] [Related]
3. Prognostic analysis and validation of diagnostic marker genes in patients with osteoporosis.
Wang X; Pei Z; Hao T; Ariben J; Li S; He W; Kong X; Chang J; Zhao Z; Zhang B
Front Immunol; 2022; 13():987937. PubMed ID: 36311708
[TBL] [Abstract][Full Text] [Related]
4. Identification of mitophagy-related biomarkers in human osteoporosis based on a machine learning model.
Su Y; Yu G; Li D; Lu Y; Ren C; Xu Y; Yang Y; Zhang K; Ma T; Li Z
Front Physiol; 2023; 14():1289976. PubMed ID: 38260098
[No Abstract] [Full Text] [Related]
5. Identification of Tissue-Specific Expressed Hub Genes and Potential Drugs in Rheumatoid Arthritis Using Bioinformatics Analysis.
Xing X; Xia Q; Gong B; Shen Z; Zhang Y
Front Genet; 2022; 13():855557. PubMed ID: 35368701
[No Abstract] [Full Text] [Related]
6. Mining Potential Drug Targets for Osteoporosis Based on CeRNA Network.
Wang Z; Zhang XF; Wang MP; Yan S; Dai ZX; Qian QH; Zhao J; Ma XL; Li B; Liu J
Orthop Surg; 2023 May; 15(5):1333-1347. PubMed ID: 36513616
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics Analysis of the Mechanisms of Diabetic Nephropathy
Guo M; Dai Y; Jiang L; Gao J
Front Endocrinol (Lausanne); 2022; 13():934022. PubMed ID: 35909518
[TBL] [Abstract][Full Text] [Related]
8. Identification of a Potential MiRNA-mRNA Regulatory Network for Osteoporosis by Using Bioinformatics Methods: A Retrospective Study Based on the Gene Expression Omnibus Database.
Lin S; Wu J; Chen B; Li S; Huang H
Front Endocrinol (Lausanne); 2022; 13():844218. PubMed ID: 35620387
[TBL] [Abstract][Full Text] [Related]
9. Comprehensive analysis of the m6A-related molecular patterns and diagnostic biomarkers in osteoporosis.
Bai Q; Shi M; Sun X; Lou Q; Peng H; Qu Z; Fan J; Dai L
Front Endocrinol (Lausanne); 2022; 13():957742. PubMed ID: 36034449
[TBL] [Abstract][Full Text] [Related]
10. Dysfunctional network of hub genes in hypertrophic cardiomyopathy patients.
Wu S; Ud Din I; Sadiq FM; Abdel-Maksoud MA; Haris M; Mubarak A; Farrag MA; Alghamdi S; Almekhlafi S; Akram M; Li G
Am J Transl Res; 2022; 14(12):8918-8933. PubMed ID: 36628247
[TBL] [Abstract][Full Text] [Related]
11. Integrative analysis of potential biomarkers and immune cell infiltration in Parkinson's disease.
Chen X; Cao W; Zhuang Y; Chen S; Li X
Brain Res Bull; 2021 Dec; 177():53-63. PubMed ID: 34536521
[TBL] [Abstract][Full Text] [Related]
12. The hub genes and their potential regulatory mechanisms in chronic spontaneous urticaria revealed by integrated transcriptional expression analysis.
Liu R; Lv D; Cao L; Liu Y; Wen X; Jiang Y; Xu J; Qin J; Qin P
Exp Dermatol; 2023 Jun; 32(6):840-851. PubMed ID: 36856573
[TBL] [Abstract][Full Text] [Related]
13. Integrated Bioinformatics Analysis for the Screening of Hub Genes and Therapeutic Drugs in Hepatocellular Carcinoma.
Su Q; Li W; Zhang X; Wu R; Zheng K; Zhou T; Dong Y; He Y; Wang D; Ran J
Curr Pharm Biotechnol; 2023; 24(8):1035-1058. PubMed ID: 35762549
[TBL] [Abstract][Full Text] [Related]
14. A Novel Hypoxia-Related Gene Signature with Strong Predicting Ability in Non-Small-Cell Lung Cancer Identified by Comprehensive Profiling.
Yang H; Wang Z; Gong L; Huang G; Chen D; Li X; Du F; Lin J; Yang X
Int J Genomics; 2022; 2022():8594658. PubMed ID: 35634481
[TBL] [Abstract][Full Text] [Related]
15. Identification of Functional Genes in Pterygium Based on Bioinformatics Analysis.
Xu Y; Qiao C; He S; Lu C; Dong S; Wu X; Yan M; Zheng F
Biomed Res Int; 2020; 2020():2383516. PubMed ID: 33299863
[TBL] [Abstract][Full Text] [Related]
16. Comprehensive analysis of an lncRNA-miRNA-mRNA competing endogenous RNA network in pulpitis.
Lei F; Zhang H; Xie X
PeerJ; 2019; 7():e7135. PubMed ID: 31304055
[TBL] [Abstract][Full Text] [Related]
17. Identification of key genes for hypertrophic cardiomyopathy using integrated network analysis of differential lncRNA and gene expression.
Cao J; Yuan L
Front Cardiovasc Med; 2022; 9():946229. PubMed ID: 35990977
[TBL] [Abstract][Full Text] [Related]
18. [Bioinformatics Analysis of Core Genes and Key Pathways in Myelodysplastic Syndrome].
Wang Y; Wang YS; Hu NB; Teng GS; Zhou Y; Bai J
Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2022 Jun; 30(3):804-812. PubMed ID: 35680809
[TBL] [Abstract][Full Text] [Related]
19. Identification of potential biomarkers of gout through competitive endogenous RNA network analysis.
Li Y; Huang C; Yang Z; Wang L; Luo D; Qi L; Li Z; Huang Y
Eur J Pharm Sci; 2022 Jun; 173():106180. PubMed ID: 35378210
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatic Analysis Combined With Experimental Validation Reveals Novel Hub Genes and Pathways Associated With Focal Segmental Glomerulosclerosis.
Hou YP; Diao TT; Xu ZH; Mao XY; Wang C; Li B
Front Mol Biosci; 2021; 8():691966. PubMed ID: 35059432
[No Abstract] [Full Text] [Related]
[Next] [New Search]