319 related articles for article (PubMed ID: 27716259)
1. Microarray data analysis to identify crucial genes regulated by CEBPB in human SNB19 glioma cells.
Du C; Pan P; Jiang Y; Zhang Q; Bao J; Liu C
World J Surg Oncol; 2016 Oct; 14(1):258. PubMed ID: 27716259
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Screening critical genes associated with malignant glioma using bioinformatics analysis.
Xu Y; Wang J; Xu Y; Xiao H; Li J; Wang Z
Mol Med Rep; 2017 Nov; 16(5):6580-6589. PubMed ID: 28901452
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Microarray gene expression profiling and bioinformatics analysis reveal key differentially expressed genes in clival and sacral chordoma cell lines.
Li G; Cai L; Zhou L
Neurol Res; 2019 Jun; 41(6):554-561. PubMed ID: 30821656
[TBL] [Abstract][Full Text] [Related]
7. Effects of β-catenin on differentially expressed genes in multiple myeloma.
Chen H; Chai W; Li B; Ni M; Zhang GQ; Liu HW; Zhang Z; Chen JY; Zhou YG; Wang Y
J Huazhong Univ Sci Technolog Med Sci; 2015 Aug; 35(4):546-552. PubMed ID: 26223925
[TBL] [Abstract][Full Text] [Related]
8. Bioinformatics analysis of microarray data to reveal the pathogenesis of diffuse intrinsic pontine glioma.
Wei L; He F; Zhang W; Chen W; Yu B
Biol Res; 2018 Aug; 51(1):26. PubMed ID: 30124166
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Prognostic Markers Identification in Glioma by Gene Expression Profile Analysis.
Hu G; Wang R; Wei B; Wang L; Yang Q; Kong D; Du C
J Comput Biol; 2020 Jan; 27(1):81-90. PubMed ID: 31433208
[TBL] [Abstract][Full Text] [Related]
11. Exploring the molecular mechanisms of osteosarcoma by the integrated analysis of mRNAs and miRNA microarrays.
Shen H; Wang W; Ni B; Zou Q; Lu H; Wang Z
Int J Mol Med; 2018 Jul; 42(1):21-30. PubMed ID: 29620143
[TBL] [Abstract][Full Text] [Related]
12. Candidate genes and microRNAs for glioma pathogenesis and prognosis based on gene expression profiles.
Xie C; Xu M; Lu D; Zhang W; Wang L; Wang H; Li J; Ren F; Wang C
Mol Med Rep; 2018 Sep; 18(3):2715-2723. PubMed ID: 30015885
[TBL] [Abstract][Full Text] [Related]
13. Construction and analysis of the regulatory network disturbed by the silenced Sp1 transcription factor in HeLa cells.
Li F; Yu L; Li L; Wei M
J Cancer Res Ther; 2015; 11(4):887-92. PubMed ID: 26881536
[TBL] [Abstract][Full Text] [Related]
14. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
15. Molecular mechanisms underlying endometriosis pathogenesis revealed by bioinformatics analysis of microarray data.
Ping S; Ma C; Liu P; Yang L; Yang X; Wu Q; Zhao X; Gong B
Arch Gynecol Obstet; 2016 Apr; 293(4):797-804. PubMed ID: 26354330
[TBL] [Abstract][Full Text] [Related]
16. Identification of Core Biomarkers Associated with Outcome in Glioma: Evidence from Bioinformatics Analysis.
Geng RX; Li N; Xu Y; Liu JH; Yuan FE; Sun Q; Liu BH; Chen QX
Dis Markers; 2018; 2018():3215958. PubMed ID: 30405856
[TBL] [Abstract][Full Text] [Related]
17. Identification of candidate genes for necrotizing enterocolitis based on microarray data.
Chen G; Li Y; Su Y; Zhou L; Zhang H; Shen Q; Du C; Li H; Wen Z; Xia Y; Tang W
Gene; 2018 Jun; 661():152-159. PubMed ID: 29605607
[TBL] [Abstract][Full Text] [Related]
18. Analysis of gene profiles in glioma cells identifies potential genes, miRNAs, and target sites of migratory cells.
Xue F; Shen R; Chen X
Tumori; 2015; 101(5):542-8. PubMed ID: 25953448
[TBL] [Abstract][Full Text] [Related]
19. Analysis of the gene-protein interaction network in glioma.
Zhou C; Teng WJ; Zhuang J; Liu HL; Tang SF; Cao XJ; Qin BN; Wang CC; Sun CG
Genet Mol Res; 2015 Nov; 14(4):14196-206. PubMed ID: 26600477
[TBL] [Abstract][Full Text] [Related]
20. Identification of hub genes and regulatory factors of glioblastoma multiforme subgroups by RNA-seq data analysis.
Li Y; Min W; Li M; Han G; Dai D; Zhang L; Chen X; Wang X; Zhang Y; Yue Z; Liu J
Int J Mol Med; 2016 Oct; 38(4):1170-8. PubMed ID: 27572852
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]