551 related articles for article (PubMed ID: 32575108)
1. Bioinformatics-Based Study to Investigate Potential Differentially Expressed Genes and miRNAs in Pediatric Sepsis.
Xie K; Kong S; Li F; Zhang Y; Wang J; Zhao W
Med Sci Monit; 2020 Jun; 26():e923881. PubMed ID: 32575108
[TBL] [Abstract][Full Text] [Related]
2. Study on potential differentially expressed genes in stroke by bioinformatics analysis.
Yang X; Wang P; Yan S; Wang G
Neurol Sci; 2022 Feb; 43(2):1155-1166. PubMed ID: 34313877
[TBL] [Abstract][Full Text] [Related]
3. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
4. Identifying differentially expressed genes and miRNAs in Kawasaki disease by bioinformatics analysis.
Cai Y; Hu W
Sci Rep; 2022 Dec; 12(1):21879. PubMed ID: 36536067
[TBL] [Abstract][Full Text] [Related]
5. Identification of Differentially Expressed Genes and miRNAs for Ulcerative Colitis Using Bioinformatics Analysis.
Hu W; Fang T; Chen X
Front Genet; 2022; 13():914384. PubMed ID: 35719390
[No Abstract] [Full Text] [Related]
6. 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]
7. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
[TBL] [Abstract][Full Text] [Related]
8. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
Cheng Q; Chen X; Wu H; Du Y
J Transl Med; 2021 Jan; 19(1):18. PubMed ID: 33407587
[TBL] [Abstract][Full Text] [Related]
9. Identification of key pathogenic genes of sepsis based on the Gene Expression Omnibus database.
Lu X; Xue L; Sun W; Ye J; Zhu Z; Mei H
Mol Med Rep; 2018 Feb; 17(2):3042-3054. PubMed ID: 29257295
[TBL] [Abstract][Full Text] [Related]
10. Identification of Key Inflammation-related Genes as Potential Diagnostic Biomarkers of Sepsis.
Guo P; Wang R; Shen J; Zhang L; Mo W
Altern Ther Health Med; 2023 Jul; 29(5):24-31. PubMed ID: 37235492
[TBL] [Abstract][Full Text] [Related]
11. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [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. Identification of differentially expressed genes, transcription factors, microRNAs and pathways in neutrophils of sepsis patients through bioinformatics analysis.
Zheng Y; Peng L; He Z; Zou Z; Li F; Huang C; Li W
Cell Mol Biol (Noisy-le-grand); 2022 Feb; 67(5):405-420. PubMed ID: 35818227
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics Analysis Identifies the Estrogen Receptor 1 (ESR1) Gene and hsa-miR-26a-5p as Potential Prognostic Biomarkers in Patients with Intrahepatic Cholangiocarcinoma.
Qin X; Song Y
Med Sci Monit; 2020 May; 26():e921815. PubMed ID: 32435051
[TBL] [Abstract][Full Text] [Related]
15. MicroRNA Expression Profiles Identify Biomarker for Differentiating the Embolic Stroke from Thrombotic Stroke.
Chen LT; Jiang CY
Biomed Res Int; 2018; 2018():4514178. PubMed ID: 30627556
[TBL] [Abstract][Full Text] [Related]
16. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
[TBL] [Abstract][Full Text] [Related]
17. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
18. Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis.
Zuo L; Li X; Tan Y; Zhu H; Xiao M
J Ovarian Res; 2021 Feb; 14(1):29. PubMed ID: 33563317
[TBL] [Abstract][Full Text] [Related]
19. Related Network and Differential Expression Analyses Identify Nuclear Genes and Pathways in the Hippocampus of Alzheimer Disease.
Quan X; Liang H; Chen Y; Qin Q; Wei Y; Liang Z
Med Sci Monit; 2020 Jan; 26():e919311. PubMed ID: 31989994
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]