510 related articles for article (PubMed ID: 30074468)
1. Identification of key target genes and biological pathways in multiple sclerosis brains using microarray data obtained from the Gene Expression Omnibus database.
Zheng W; Chen Y; Chen H; Xiao W; Liang Y; Wang N; Jiang X; Wen S
Neurol Res; 2018 Oct; 40(10):883-891. PubMed ID: 30074468
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Identification of Key Genes and Regulatory Pathways in Multiple Sclerosis Brain Samples: A Meta-Analysis of Micro-Array Datasets.
Jansen MI; Castorina A
Int J Mol Sci; 2023 May; 24(11):. PubMed ID: 37298310
[TBL] [Abstract][Full Text] [Related]
5. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Identification of hub genes in chronically hypoxic myocardium using bioinformatics analysis.
Wu F; Gao F; He S; Xiao Y
Mol Med Rep; 2019 May; 19(5):3871-3881. PubMed ID: 30864710
[TBL] [Abstract][Full Text] [Related]
8. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
Vastrad B; Vastrad C; Tengli A; Iliger S
Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
[TBL] [Abstract][Full Text] [Related]
9. Identification of key microRNAs and genes in preeclampsia by bioinformatics analysis.
Luo S; Cao N; Tang Y; Gu W
PLoS One; 2017; 12(6):e0178549. PubMed ID: 28594854
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identification of transcriptional factors and key genes in primary osteoporosis by DNA microarray.
Xie W; Ji L; Zhao T; Gao P
Med Sci Monit; 2015 May; 21():1333-44. PubMed ID: 25957414
[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. 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]
14. Identification of potential crucial genes associated with early-onset preeclampsia via bioinformatic analysis.
Kang Q; Li W; Xiao J; Yu N; Fan L; Sha M; Ma S; Wu J; Chen S
Pregnancy Hypertens; 2021 Jun; 24():27-36. PubMed ID: 33640831
[TBL] [Abstract][Full Text] [Related]
15. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
[TBL] [Abstract][Full Text] [Related]
16. Identification of Skt11-regulated genes in chondrocytes by integrated bioinformatics analysis.
Liang S; Zhang JM; Lv ZT; Cheng P; Zhu WT; Chen AM
Gene; 2018 Nov; 677():340-348. PubMed ID: 30107230
[TBL] [Abstract][Full Text] [Related]
17. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
Liang B; Li C; Zhao J
Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Construction of an immunorelated protein-protein interaction network for clarifying the mechanism of burn.
Gao Y; Nai W; Yang L; Lu Z; Shi P; Jin H; Wen H; Wang G
Burns; 2016 Mar; 42(2):405-13. PubMed ID: 26739088
[TBL] [Abstract][Full Text] [Related]
20. Ossification of the posterior longitudinal ligament related genes identification using microarray gene expression profiling and bioinformatics analysis.
He H; Mao L; Xu P; Xi Y; Xu N; Xue M; Yu J; Ye X
Gene; 2014 Jan; 533(2):515-9. PubMed ID: 24055420
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
