165 related articles for article (PubMed ID: 28191466)
1. Prediction and Analysis of Key Genes in Glioblastoma Based on Bioinformatics.
Long H; Liang C; Zhang X; Fang L; Wang G; Qi S; Huo H; Song Y
Biomed Res Int; 2017; 2017():7653101. PubMed ID: 28191466
[TBL] [Abstract][Full Text] [Related]
2. Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysis.
Chen X; Pan Y; Yan M; Bao G; Sun X
Mol Med Rep; 2020 Aug; 22(2):859-869. PubMed ID: 32467990
[TBL] [Abstract][Full Text] [Related]
3. Identification of Hub Genes and Key Pathways Associated with Anti-
Arya KR; Bharath Chand RP; Abhinand CS; Nair AS; Oommen OV; Sudhakaran PR
Biomolecules; 2021 Mar; 11(3):. PubMed ID: 33803224
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatics analysis of potential core genes for glioblastoma.
Zhang Y; Yang X; Zhu XL; Hao JQ; Bai H; Xiao YC; Wang ZZ; Hao CY; Duan HB
Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32667033
[TBL] [Abstract][Full Text] [Related]
5. mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses.
Azimi P; Yazdanian T; Ahmadiani A
BMC Cancer; 2024 May; 24(1):612. PubMed ID: 38773447
[TBL] [Abstract][Full Text] [Related]
6. Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression.
Rahman MH; Rana HK; Peng S; Hu X; Chen C; Quinn JMW; Moni MA
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33406529
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of the potential oncogenes in glioblastoma based on bioinformatic analysis and elucidation of the underlying mechanisms.
Zhang Y; Xia Q; Lin J
Oncol Rep; 2018 Aug; 40(2):715-725. PubMed ID: 29901201
[TBL] [Abstract][Full Text] [Related]
9. Combined expressional analysis, bioinformatics and targeted proteomics identify new potential therapeutic targets in glioblastoma stem cells.
Stangeland B; Mughal AA; Grieg Z; Sandberg CJ; Joel M; Nygård S; Meling T; Murrell W; Vik Mo EO; Langmoen IA
Oncotarget; 2015 Sep; 6(28):26192-215. PubMed ID: 26295306
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signature.
Syafruddin SE; Nazarie WFWM; Moidu NA; Soon BH; Mohtar MA
BMC Cancer; 2021 Jul; 21(1):850. PubMed ID: 34301218
[TBL] [Abstract][Full Text] [Related]
12. PI3 kinase pathway regulated miRNome in glioblastoma: identification of miR-326 as a tumour suppressor miRNA.
Nawaz Z; Patil V; Paul Y; Hegde AS; Arivazhagan A; Santosh V; Somasundaram K
Mol Cancer; 2016 Nov; 15(1):74. PubMed ID: 27871300
[TBL] [Abstract][Full Text] [Related]
13. Genome-wide expression profiling of glioblastoma using a large combined cohort.
Tang J; He D; Yang P; He J; Zhang Y
Sci Rep; 2018 Oct; 8(1):15104. PubMed ID: 30305647
[TBL] [Abstract][Full Text] [Related]
14. SLC12A5 as a novel potential biomarker of glioblastoma multiforme.
Chen J; Wang H; Deng C; Fei M
Mol Biol Rep; 2023 May; 50(5):4285-4299. PubMed ID: 36917367
[TBL] [Abstract][Full Text] [Related]
15. Discovering gene-environment interactions in glioblastoma through a comprehensive data integration bioinformatics method.
Kunkle B; Yoo C; Roy D
Neurotoxicology; 2013 Mar; 35():1-14. PubMed ID: 23261424
[TBL] [Abstract][Full Text] [Related]
16. Computational analysis and verification of molecular genetic targets for glioblastoma.
Xue L; Liu H; Chen Y; Wei L; Hong J
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32469390
[TBL] [Abstract][Full Text] [Related]
17. Open Data for Differential Network Analysis in Glioma.
Jean-Quartier C; Jeanquartier F; Holzinger A
Int J Mol Sci; 2020 Jan; 21(2):. PubMed ID: 31952211
[TBL] [Abstract][Full Text] [Related]
18. Revealing radiotherapy- and chemoradiation-induced pathway dynamics in glioblastoma by analyzing multiple differential networks.
Zhou J; Chen C; Li HF; Hu YJ; Xie HL
Mol Med Rep; 2017 Jul; 16(1):696-702. PubMed ID: 28560382
[TBL] [Abstract][Full Text] [Related]
19. Identification of survival‑associated key genes and long non‑coding RNAs in glioblastoma multiforme by weighted gene co‑expression network analysis.
Chen X; Pan C; Xu C; Sun Y; Geng Y; Kong L; Xiao X; Zhao Z; Zhou W; Huang L; Song Y; Zhang L
Int J Mol Med; 2019 Apr; 43(4):1709-1722. PubMed ID: 30816427
[TBL] [Abstract][Full Text] [Related]
20. Functional genomics analyses of RNA-binding proteins reveal the splicing regulator SNRPB as an oncogenic candidate in glioblastoma.
Correa BR; de Araujo PR; Qiao M; Burns SC; Chen C; Schlegel R; Agarwal S; Galante PA; Penalva LO
Genome Biol; 2016 Jun; 17(1):125. PubMed ID: 27287018
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]