298 related articles for article (PubMed ID: 28731189)
1. Identification of pivotal genes and pathways for spinal cord injury via bioinformatics analysis.
Zhu Z; Shen Q; Zhu L; Wei X
Mol Med Rep; 2017 Oct; 16(4):3929-3937. PubMed ID: 28731189
[TBL] [Abstract][Full Text] [Related]
2. Identification of key genes and pathways associated with spinal cord injury.
Zhang YH; Song J; Wang LG; Shao J
Mol Med Rep; 2017 Apr; 15(4):1577-1584. PubMed ID: 28259986
[TBL] [Abstract][Full Text] [Related]
3. Further insight into molecular mechanism underlying thoracic spinal cord injury using bioinformatics methods.
Wang W; Liu R; Xu Z; Niu X; Mao Z; Meng Q; Cao X
Mol Med Rep; 2015 Dec; 12(6):7851-8. PubMed ID: 26497545
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatics analysis of the molecular mechanisms underlying traumatic spinal cord injury.
Zhao SJ; Zhou W; Chen J; Luo YJ; Yin GY
Mol Med Rep; 2018 Jun; 17(6):8484-8492. PubMed ID: 29693160
[TBL] [Abstract][Full Text] [Related]
5. Regulation of gene expression in rats with spinal cord injury based on microarray data.
Chen G; Fang X; Yu M
Mol Med Rep; 2015 Aug; 12(2):2465-72. PubMed ID: 25936407
[TBL] [Abstract][Full Text] [Related]
6. Comparative analysis of molecular mechanism of spinal cord injury with time based on bioinformatics data.
Wen T; Hou J; Wang F; Zhang Y; Zhang T; Sun T
Spinal Cord; 2016 Jun; 54(6):431-8. PubMed ID: 26503224
[TBL] [Abstract][Full Text] [Related]
7. Bioinformatics analysis of key genes and signaling pathways associated with myocardial infarction following telomerase activation.
Yang Y; Yang G; Du H; Dong N; Yu B
Mol Med Rep; 2017 Sep; 16(3):2915-2924. PubMed ID: 28713962
[TBL] [Abstract][Full Text] [Related]
8. Gene expression profiles reveal key pathways and genes associated with neuropathic pain in patients with spinal cord injury.
He X; Fan L; Wu Z; He J; Cheng B
Mol Med Rep; 2017 Apr; 15(4):2120-2128. PubMed ID: 28260076
[TBL] [Abstract][Full Text] [Related]
9. Identification of molecular pathway changes after spinal cord injury by microarray analysis.
Zhang H; Wang Y
J Orthop Surg Res; 2016 Sep; 11(1):101. PubMed ID: 27628653
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identifying gene expression profile of spinal cord injury in rat by bioinformatics strategy.
Jin L; Wu Z; Xu W; Hu X; Zhang J; Xue Z; Cheng L
Mol Biol Rep; 2014 May; 41(5):3169-77. PubMed ID: 24595446
[TBL] [Abstract][Full Text] [Related]
12. Transcriptomic analysis of α-synuclein knockdown after T3 spinal cord injury in rats.
Zeng H; Yu BF; Liu N; Yang YY; Xing HY; Liu XX; Zhou MW
BMC Genomics; 2019 Nov; 20(1):851. PubMed ID: 31726970
[TBL] [Abstract][Full Text] [Related]
13. Identification of Key Genes and Pathways Involved in the Heterogeneity of Intrinsic Growth Ability Between Neurons After Spinal Cord Injury in Adult Zebrafish.
Fu H; Han G; Li H; Liang X; Hu D; Zhang L; Tang P
Neurochem Res; 2019 Sep; 44(9):2057-2067. PubMed ID: 31325155
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Identification of crucial genes associated with rat traumatic spinal cord injury.
Yang Z; Lv Q; Wang Z; Dong X; Yang R; Zhao W
Mol Med Rep; 2017 Apr; 15(4):1997-2006. PubMed ID: 28260098
[TBL] [Abstract][Full Text] [Related]
17. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. 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]
[Next] [New Search]
