622 related articles for article (PubMed ID: 34466069)
1. Construction of miRNA-mRNA network for the identification of key biological markers and their associated pathways in IgA nephropathy by employing the integrated bioinformatics analysis.
Noor F; Saleem MH; Aslam MF; Ahmad A; Aslam S
Saudi J Biol Sci; 2021 Sep; 28(9):4938-4945. PubMed ID: 34466069
[TBL] [Abstract][Full Text] [Related]
2. Identification of miRNA-mRNA network and immune-related gene signatures in IgA nephropathy by integrated bioinformatics analysis.
Wei SY; Guo S; Feng B; Ning SW; Du XY
BMC Nephrol; 2021 Nov; 22(1):392. PubMed ID: 34823491
[TBL] [Abstract][Full Text] [Related]
3. Identification of key miRNAs and their targets in peripheral blood mononuclear cells of IgA nephropathy using bioinformatics analysis.
Liu L; Yang Y; Yu D
Medicine (Baltimore); 2021 Jul; 100(26):e26495. PubMed ID: 34190177
[TBL] [Abstract][Full Text] [Related]
4. Integrated bioinformatics analysis reveals novel hub genes closely associated with pathological mechanisms of immunoglobulin A nephropathy.
Zhang D; Cao Y; Zuo Y; Wang Z; Mi X; Tang W
Exp Ther Med; 2019 Aug; 18(2):1235-1245. PubMed ID: 31316619
[TBL] [Abstract][Full Text] [Related]
5. Construction of Circular RNA-MicroRNA-Messenger RNA Regulatory Network of Recurrent Implantation Failure to Explore Its Potential Pathogenesis.
Luo J; Zhu L; Zhou N; Zhang Y; Zhang L; Zhang R
Front Genet; 2020; 11():627459. PubMed ID: 33664765
[No Abstract] [Full Text] [Related]
6. Bioinformatics analysis reveals novel hub gene pathways associated with IgA nephropathy.
Jiang X; Xu Z; Du Y; Chen H
Eur J Med Res; 2020 Sep; 25(1):40. PubMed ID: 32894197
[TBL] [Abstract][Full Text] [Related]
7. Identification of Hub Genes in the Pathogenesis of Ischemic Stroke Based on Bioinformatics Analysis.
Yang X; Yan S; Wang P; Wang G
J Korean Neurosurg Soc; 2022 Sep; 65(5):697-709. PubMed ID: 35577542
[TBL] [Abstract][Full Text] [Related]
8. Comprehensive analysis of circRNA expression profiles and circRNA-associated competing endogenous RNA networks in IgA nephropathy.
Liu H; Liu D; Liu Y; Xia M; Li Y; Li M; Liu H
PeerJ; 2020; 8():e10395. PubMed ID: 33344076
[TBL] [Abstract][Full Text] [Related]
9. Identifying key genes and screening therapeutic agents associated with diabetes mellitus and HCV-related hepatocellular carcinoma by bioinformatics analysis.
Sufyan M; Ali Ashfaq U; Ahmad S; Noor F; Hamzah Saleem M; Farhan Aslam M; El-Serehy HA; Aslam S
Saudi J Biol Sci; 2021 Oct; 28(10):5518-5525. PubMed ID: 34588861
[TBL] [Abstract][Full Text] [Related]
10. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
Zhou R; Liu D; Zhu J; Zhang T
Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
[TBL] [Abstract][Full Text] [Related]
11. Identifying hub genes and miRNAs in Crohn's disease by bioinformatics analysis.
Sun Y; Cai D; Hu W; Fang T
Front Genet; 2022; 13():950136. PubMed ID: 36118873
[No Abstract] [Full Text] [Related]
12. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
13. Key Genes Associated With Non-Alcoholic Fatty Liver Disease and Polycystic Ovary Syndrome.
Chen Y; Ma L; Ge Z; Pan Y; Xie L
Front Mol Biosci; 2022; 9():888194. PubMed ID: 35693550
[No Abstract] [Full Text] [Related]
14. Identifying
Ding J; Liu Y; Lai Y
PeerJ; 2020; 8():e10419. PubMed ID: 33282565
[TBL] [Abstract][Full Text] [Related]
15. Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia.
Hu T; Luo S; Xi Y; Tu X; Yang X; Zhang H; Feng J; Wang C; Zhang Y
Transl Androl Urol; 2021 Jan; 10(1):243-257. PubMed ID: 33532314
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. 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]
20. Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.
Cao L; Chen Y; Zhang M; Xu DQ; Liu Y; Liu T; Liu SX; Wang P
PeerJ; 2018; 6():e5180. PubMed ID: 30002985
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
