281 related articles for article (PubMed ID: 23344900)
1. 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]
2. Automated network analysis identifies core pathways in glioblastoma.
Cerami E; Demir E; Schultz N; Taylor BS; Sander C
PLoS One; 2010 Feb; 5(2):e8918. PubMed ID: 20169195
[TBL] [Abstract][Full Text] [Related]
3. Identifying core gene modules in glioblastoma based on multilayer factor-mediated dysfunctional regulatory networks through integrating multi-dimensional genomic data.
Ping Y; Deng Y; Wang L; Zhang H; Zhang Y; Xu C; Zhao H; Fan H; Yu F; Xiao Y; Li X
Nucleic Acids Res; 2015 Feb; 43(4):1997-2007. PubMed ID: 25653168
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. IndividualizedPath: identifying genetic alterations contributing to the dysfunctional pathways in glioblastoma individuals.
Ping Y; Zhang H; Deng Y; Wang L; Zhao H; Pang L; Fan H; Xu C; Li F; Zhang Y; Gong Y; Xiao Y; Li X
Mol Biosyst; 2014 Aug; 10(8):2031-42. PubMed ID: 24911613
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.
Zhang J; Zhang S; Wang Y; Zhang XS
BMC Syst Biol; 2013; 7 Suppl 2(Suppl 2):S4. PubMed ID: 24565034
[TBL] [Abstract][Full Text] [Related]
9. Mutual exclusivity analysis identifies oncogenic network modules.
Ciriello G; Cerami E; Sander C; Schultz N
Genome Res; 2012 Feb; 22(2):398-406. PubMed ID: 21908773
[TBL] [Abstract][Full Text] [Related]
10. An integrative characterization of recurrent molecular aberrations in glioblastoma genomes.
Sintupisut N; Liu PL; Yeang CH
Nucleic Acids Res; 2013 Oct; 41(19):8803-21. PubMed ID: 23907387
[TBL] [Abstract][Full Text] [Related]
11. Integrative genome-wide analysis reveals a robust genomic glioblastoma signature associated with copy number driving changes in gene expression.
de Tayrac M; Etcheverry A; Aubry M; Saïkali S; Hamlat A; Quillien V; Le Treut A; Galibert MD; Mosser J
Genes Chromosomes Cancer; 2009 Jan; 48(1):55-68. PubMed ID: 18828157
[TBL] [Abstract][Full Text] [Related]
12. Identifying the personalized driver gene sets maximally contributing to abnormality of transcriptome phenotype in glioblastoma multiforme individuals.
Xu J; Pang B; Lan Y; Dou R; Wang S; Kang S; Zhang W; Liu Y; Zhang Y; Ping Y
Mol Oncol; 2023 Nov; 17(11):2472-2490. PubMed ID: 37491836
[TBL] [Abstract][Full Text] [Related]
13. Molecular and Genomic Alterations in Glioblastoma Multiforme.
Crespo I; Vital AL; Gonzalez-Tablas M; Patino Mdel C; Otero A; Lopes MC; de Oliveira C; Domingues P; Orfao A; Tabernero MD
Am J Pathol; 2015 Jul; 185(7):1820-33. PubMed ID: 25976245
[TBL] [Abstract][Full Text] [Related]
14. Gene regulation in glioblastoma: a combinatorial analysis of microRNAs and transcription factors.
Gong X; Sun J; Zhao Z
Int J Comput Biol Drug Des; 2011; 4(2):111-26. PubMed ID: 21712563
[TBL] [Abstract][Full Text] [Related]
15. Four specific biomarkers associated with the progression of glioblastoma multiforme in older adults identified using weighted gene co-expression network analysis.
Yang Y; Chu L; Zeng Z; Xu S; Yang H; Zhang X; Jia J; Long N; Hu Y; Liu J
Bioengineered; 2021 Dec; 12(1):6643-6654. PubMed ID: 34516348
[TBL] [Abstract][Full Text] [Related]
16. Candidate genes influencing sensitivity and resistance of human glioblastoma to Semustine.
Zhao Z; Liu Y; He H; Chen X; Chen J; Lu YC
Brain Res Bull; 2011 Oct; 86(3-4):189-94. PubMed ID: 21807073
[TBL] [Abstract][Full Text] [Related]
17. Analysis of pathway mutation profiles highlights collaboration between cancer-associated superpathways.
Gu Y; Zhao W; Xia J; Zhang Y; Wu R; Wang C; Guo Z
Hum Mutat; 2011 Sep; 32(9):1028-35. PubMed ID: 21618647
[TBL] [Abstract][Full Text] [Related]
18. Gene expression profiling reveals Ki-67 associated proliferation signature in human glioblastoma.
Jin Q; Zhang W; Qiu XG; Yan W; You G; Liu YW; Jiang T; Wang L
Chin Med J (Engl); 2011 Sep; 124(17):2584-8. PubMed ID: 22040407
[TBL] [Abstract][Full Text] [Related]
19. An information theoretic method to identify combinations of genomic alterations that promote glioblastoma.
Melamed RD; Wang J; Iavarone A; Rabadan R
J Mol Cell Biol; 2015 Jun; 7(3):203-13. PubMed ID: 25941339
[TBL] [Abstract][Full Text] [Related]
20. Glioblastoma-specific protein interaction network identifies PP1A and CSK21 as connecting molecules between cell cycle-associated genes.
Ladha J; Donakonda S; Agrawal S; Thota B; Srividya MR; Sridevi S; Arivazhagan A; Thennarasu K; Balasubramaniam A; Chandramouli BA; Hegde AS; Kondaiah P; Somasundaram K; Santosh V; Rao SM
Cancer Res; 2010 Aug; 70(16):6437-47. PubMed ID: 20663907
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]