313 related articles for article (PubMed ID: 27842724)
1. Uncovering potential key genes associated with the pathogenesis of asthma: A microarray analysis of asthma-relevant tissues.
Guan Y; Jin X; Liu X; Huang Y; Wang M; Li X
Allergol Immunopathol (Madr); 2017; 45(2):152-159. PubMed ID: 27842724
[TBL] [Abstract][Full Text] [Related]
2. Genes related to inflammation and bone loss process in periodontitis suggested by bioinformatics methods.
Song L; Yao J; He Z; Xu B
BMC Oral Health; 2015 Sep; 15():105. PubMed ID: 26334995
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Protein-protein interaction network analysis of children atopic asthma.
Liu Y; Liu S
Eur Rev Med Pharmacol Sci; 2012 Jul; 16(7):867-72. PubMed ID: 22953633
[TBL] [Abstract][Full Text] [Related]
5. [Comparative analysis of the role of CD4(+) and CD8(+) T cells in severe asthma development].
Wang X; Wang J; Xing CY; Zang R; Pu YY; Yin ZX
Mol Biol (Mosk); 2015; 49(3):482-90. PubMed ID: 26107902
[TBL] [Abstract][Full Text] [Related]
6. Protein-protein interaction networks and modules analysis for colorectal cancer and serrated adenocarcinoma.
Yu H; Ye L; Wang J; Jin L; Lv Y; Yu M
J Cancer Res Ther; 2015; 11(4):846-51. PubMed ID: 26881529
[TBL] [Abstract][Full Text] [Related]
7. Identification of therapeutic targets for childhood severe asthmatics with DNA microarray.
Wu Y; Zhang JF; Xu T; Xu L; Qiao J; Liu F; Shan H; Jiang X
Allergol Immunopathol (Madr); 2016; 44(1):76-82. PubMed ID: 25979195
[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 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]
10. Transcriptional Regulatory Network Analysis for Gastric Cancer Based on mRNA Microarray.
Wang Y
Pathol Oncol Res; 2017 Oct; 23(4):785-791. PubMed ID: 28078605
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatics analysis of gene expression profiles in childhood B-precursor acute lymphoblastic leukemia.
Li J; Zhai X; Wang H; Qian X; Miao H; Zhu X
Hematology; 2015 Aug; 20(7):377-83. PubMed ID: 25431969
[TBL] [Abstract][Full Text] [Related]
12. Gene expression profiling analysis of the role of miR-22 in clear cell ovarian cancer.
Zhen YB; Guo XL; Xu B; Zhao HW; Xu CJ
Neoplasma; 2016; 63(6):856-864. PubMed ID: 27565323
[TBL] [Abstract][Full Text] [Related]
13. Identification of novel biomarkers and candidate small molecule drugs in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis of high-throughput data.
Zuo B; Zhu J; Xiao F; Wang C; Shen Y; Chen X
Biosci Rep; 2020 Dec; 40(12):. PubMed ID: 33325525
[TBL] [Abstract][Full Text] [Related]
14. Key genes and pathways predicted in papillary thyroid carcinoma based on bioinformatics analysis.
Yu J; Mai W; Cui Y; Kong L
J Endocrinol Invest; 2016 Nov; 39(11):1285-1293. PubMed ID: 27250077
[TBL] [Abstract][Full Text] [Related]
15. Revealing the underlying mechanism of diabetic nephropathy viewed by microarray analysis.
Qu W; Han C; Li M; Zhang J; Li L
Exp Clin Endocrinol Diabetes; 2015 Jun; 123(6):353-9. PubMed ID: 25918880
[TBL] [Abstract][Full Text] [Related]
16. In search of key genes associated with endometriosis using bioinformatics approach.
Liu F; Lv X; Yu H; Xu P; Ma R; Zou K
Eur J Obstet Gynecol Reprod Biol; 2015 Nov; 194():119-24. PubMed ID: 26366788
[TBL] [Abstract][Full Text] [Related]
17. Common and differentially expressed long noncoding RNAs for the characterization of high and low grade bladder cancer.
Wang M; Xiao X; Zeng F; Xie F; Fan Y; Huang C; Jiang G; Wang L
Gene; 2016 Oct; 592(1):78-85. PubMed ID: 27451077
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Integrated microarray analysis provided a new insight of the pathogenesis of Parkinson's disease.
Kong P; Lei P; Zhang S; Li D; Zhao J; Zhang B
Neurosci Lett; 2018 Jan; 662():51-58. PubMed ID: 28965931
[TBL] [Abstract][Full Text] [Related]
20. Screening of feature genes of the renal cell carcinoma with DNA microarray.
Feng JY; Diao XW; Fan MQ; Wang PX; Xiao Y; Zhong X; Wu RH; Huang CB
Eur Rev Med Pharmacol Sci; 2013 Nov; 17(22):2994-3001. PubMed ID: 24302177
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
