364 related articles for article (PubMed ID: 31524257)
1. Identification of core genes and pathways in type 2 diabetes mellitus by bioinformatics analysis.
Ding L; Fan L; Xu X; Fu J; Xue Y
Mol Med Rep; 2019 Sep; 20(3):2597-2608. PubMed ID: 31524257
[TBL] [Abstract][Full Text] [Related]
2. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
5. Identification of differentially expressed genes and regulatory relationships in Huntington's disease by bioinformatics analysis.
Dong X; Cong S
Mol Med Rep; 2018 Mar; 17(3):4317-4326. PubMed ID: 29328442
[TBL] [Abstract][Full Text] [Related]
6. Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis.
Zhu H; Zhu X; Liu Y; Jiang F; Chen M; Cheng L; Cheng X
Comput Math Methods Med; 2020; 2020():9602016. PubMed ID: 33149760
[TBL] [Abstract][Full Text] [Related]
7. Identification of potential markers for type 2 diabetes mellitus via bioinformatics analysis.
Lu Y; Li Y; Li G; Lu H
Mol Med Rep; 2020 Sep; 22(3):1868-1882. PubMed ID: 32705173
[TBL] [Abstract][Full Text] [Related]
8. Identification of genes and pathways in esophageal adenocarcinoma using bioinformatics analysis.
He F; Ai B; Tian L
Biomed Rep; 2018 Oct; 9(4):305-312. PubMed ID: 30233782
[TBL] [Abstract][Full Text] [Related]
9. Investigation of the underlying genes and mechanism of familial hypercholesterolemia through bioinformatics analysis.
Wang D; Liu B; Xiong T; Yu W; She Q
BMC Cardiovasc Disord; 2020 Sep; 20(1):419. PubMed ID: 32938406
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identification of key genes and pathways associated with classical Hodgkin lymphoma by bioinformatics analysis.
Kuang Z; Guo L; Li X
Mol Med Rep; 2017 Oct; 16(4):4685-4693. PubMed ID: 28791394
[TBL] [Abstract][Full Text] [Related]
12. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
13. Exploring of the molecular mechanism of rhinitis via bioinformatics methods.
Song Y; Yan Z
Mol Med Rep; 2018 Feb; 17(2):3014-3020. PubMed ID: 29257233
[TBL] [Abstract][Full Text] [Related]
14. A comprehensive analysis of candidate genes and pathways in pancreatic cancer.
Liu J; Li J; Li H; Li A; Liu B; Han L
Tumour Biol; 2015 Mar; 36(3):1849-57. PubMed ID: 25409614
[TBL] [Abstract][Full Text] [Related]
15. Differently Expressed Genes (DEGs) Relevant to Type 2 Diabetes Mellitus Identification and Pathway Analysis via Integrated Bioinformatics Analysis.
Che X; Zhao R; Xu H; Liu X; Zhao S; Ma H
Med Sci Monit; 2019 Dec; 25():9237-9244. PubMed ID: 31797865
[TBL] [Abstract][Full Text] [Related]
16. Identification of key genes involved in type 2 diabetic islet dysfunction: a bioinformatics study.
Zhong M; Wu Y; Ou W; Huang L; Yang L
Biosci Rep; 2019 May; 39(5):. PubMed ID: 31088900
[No Abstract] [Full Text] [Related]
17. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis to identify key genes and pathways influencing synovial inflammation in osteoarthritis.
Lin J; Wu G; Zhao Z; Huang Y; Chen J; Fu C; Ye J; Liu X
Mol Med Rep; 2018 Dec; 18(6):5594-5602. PubMed ID: 30365099
[TBL] [Abstract][Full Text] [Related]
19. Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism.
Wang H; Wang C; Zhang L; Lu Y; Duan Q; Gong Z; Liang A; Song H; Wang L
Mol Med Rep; 2015 Apr; 11(4):2527-33. PubMed ID: 25434468
[TBL] [Abstract][Full Text] [Related]
20. Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
Peng C; Ma W; Xia W; Zheng W
Mol Med Rep; 2017 Mar; 15(3):1087-1094. PubMed ID: 28075450
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]