222 related articles for article (PubMed ID: 32079293)
1. Kernel Differential Subgraph Analysis to Reveal the Key Period Affecting Glioblastoma.
Xie J; Sun J; Feng J; Yang F; Wang J; Wen T; Nie Q
Biomolecules; 2020 Feb; 10(2):. PubMed ID: 32079293
[TBL] [Abstract][Full Text] [Related]
2. Kernel differential subgraph reveals dynamic changes in biomolecular networks.
Xie J; Lu D; Li J; Wang J; Zhang Y; Li Y; Nie Q
J Bioinform Comput Biol; 2018 Feb; 16(1):1750027. PubMed ID: 29281952
[TBL] [Abstract][Full Text] [Related]
3. Quiescent stem cell marker genes in glioma gene networks are sufficient to distinguish between normal and glioblastoma (GBM) samples.
Mukherjee S
Sci Rep; 2020 Jul; 10(1):10937. PubMed ID: 32616845
[TBL] [Abstract][Full Text] [Related]
4. Identification of Crucial Candidate Genes and Pathways in Glioblastoma Multiform by Bioinformatics Analysis.
Alshabi AM; Vastrad B; Shaikh IA; Vastrad C
Biomolecules; 2019 May; 9(5):. PubMed ID: 31137733
[TBL] [Abstract][Full Text] [Related]
5. In silico analysis identified miRNA‑based therapeutic agents against glioblastoma multiforme.
Xiong DD; Xu WQ; He RQ; Dang YW; Chen G; Luo DZ
Oncol Rep; 2019 Apr; 41(4):2194-2208. PubMed ID: 30816530
[TBL] [Abstract][Full Text] [Related]
6. Hypoxia Regulated Gene Network in Glioblastoma Has Special Algebraic Topology Structures and Revealed Communications Involving Warburg Effect and Immune Regulation.
Mao XG; Xue XY; Wang L; Wang L; Li L; Zhang X
Cell Mol Neurobiol; 2019 Nov; 39(8):1093-1114. PubMed ID: 31203532
[TBL] [Abstract][Full Text] [Related]
7. PBK as a Potential Biomarker Associated with Prognosis of Glioblastoma.
Dong C; Fan W; Fang S
J Mol Neurosci; 2020 Jan; 70(1):56-64. PubMed ID: 31617063
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data.
Lopes MB; Vinga S
BMC Bioinformatics; 2020 Feb; 21(1):59. PubMed ID: 32070274
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Combining single-cell sequencing and spatial transcriptome sequencing to identify exosome-related features of glioblastoma and constructing a prognostic model to identify BARD1 as a potential therapeutic target for GBM patients.
Zhao S; Wang Q; Ni K; Zhang P; Liu Y; Xie J; Ji W; Cheng C; Zhou Q
Front Immunol; 2023; 14():1263329. PubMed ID: 37727789
[TBL] [Abstract][Full Text] [Related]
13. Gene and microRNA Signatures Are Associated with the Development and Survival of Glioblastoma Patients.
Yang Q; Wang R; Wei B; Peng C; Wang L; Hu G; Kong D; Du C
DNA Cell Biol; 2019 Jul; 38(7):688-699. PubMed ID: 31188028
[TBL] [Abstract][Full Text] [Related]
14. Bmi1 regulates human glioblastoma stem cells through activation of differential gene networks in CD133+ brain tumor initiating cells.
Vora P; Seyfrid M; Venugopal C; Qazi MA; Salim S; Isserlin R; Subapanditha M; O'Farrell E; Mahendram S; Singh M; Bakhshinyan D; Chokshi C; McFarlane N; Dvorkin-Gheva A; Brown KR; Murty N; Moffat J; Bader GD; Singh SK
J Neurooncol; 2019 Jul; 143(3):417-428. PubMed ID: 31115870
[TBL] [Abstract][Full Text] [Related]
15. Gene co-expression network construction and analysis for identification of genetic biomarkers associated with glioblastoma multiforme using topological findings.
Redekar SS; Varma SL; Bhattacharjee A
J Egypt Natl Canc Inst; 2023 Jul; 35(1):22. PubMed ID: 37482563
[TBL] [Abstract][Full Text] [Related]
16. Identifying the miRNA Signature Association with Aging-Related Senescence in Glioblastoma.
Gnanavel M; Murugesan A; Konda Mani S; Yli-Harja O; Kandhavelu M
Int J Mol Sci; 2021 Jan; 22(2):. PubMed ID: 33419230
[TBL] [Abstract][Full Text] [Related]
17. Methylated of genes behaving as potential biomarkers in evaluating malignant degree of glioblastoma.
Wen WS; Hu SL; Ai Z; Mou L; Lu JM; Li S
J Cell Physiol; 2017 Dec; 232(12):3622-3630. PubMed ID: 28145562
[TBL] [Abstract][Full Text] [Related]
18. Network analysis of genomic alteration profiles reveals co-altered functional modules and driver genes for glioblastoma.
Gu Y; Wang H; Qin Y; Zhang Y; Zhao W; Qi L; Zhang Y; Wang C; Guo Z
Mol Biosyst; 2013 Mar; 9(3):467-77. PubMed ID: 23344900
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. LncRNA profile of glioblastoma reveals the potential role of lncRNAs in contributing to glioblastoma pathogenesis.
Han L; Zhang K; Shi Z; Zhang J; Zhu J; Zhu S; Zhang A; Jia Z; Wang G; Yu S; Pu P; Dong L; Kang C
Int J Oncol; 2012 Jun; 40(6):2004-12. PubMed ID: 22446686
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]