193 related articles for article (PubMed ID: 28710010)
21. Systematic identification of cell cycle regulated transcription factors from microarray time series data.
Cheng C; Li LM
BMC Genomics; 2008 Mar; 9():116. PubMed ID: 18315882
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Learning transcriptional networks from the integration of ChIP-chip and expression data in a non-parametric model.
Youn A; Reiss DJ; Stuetzle W
Bioinformatics; 2010 Aug; 26(15):1879-86. PubMed ID: 20525821
[TBL] [Abstract][Full Text] [Related]
24. Meta-Analysis of Transcriptome Regulation During Induction to Cardiac Myocyte Fate From Mouse and Human Fibroblasts.
Rastegar-Pouyani S; Khazaei N; Wee P; Yaqubi M; Mohammadnia A
J Cell Physiol; 2017 Aug; 232(8):2053-2062. PubMed ID: 27579918
[TBL] [Abstract][Full Text] [Related]
25. A novel meta-analysis approach of cancer transcriptomes reveals prevailing transcriptional networks in cancer cells.
Niida A; Imoto S; Nagasaki M; Yamaguchi R; Miyano S
Genome Inform; 2010 Jan; 22():121-31. PubMed ID: 20238423
[TBL] [Abstract][Full Text] [Related]
26. Integrative random forest for gene regulatory network inference.
Petralia F; Wang P; Yang J; Tu Z
Bioinformatics; 2015 Jun; 31(12):i197-205. PubMed ID: 26072483
[TBL] [Abstract][Full Text] [Related]
27. A Heterogeneous Network Based Method for Identifying GBM-Related Genes by Integrating Multi-Dimensional Data.
Chen Peng ; Ao Li
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(3):713-720. PubMed ID: 28113912
[TBL] [Abstract][Full Text] [Related]
28. Topological basis of signal integration in the transcriptional-regulatory network of the yeast, Saccharomyces cerevisiae.
Farkas IJ; Wu C; Chennubhotla C; Bahar I; Oltvai ZN
BMC Bioinformatics; 2006 Oct; 7():478. PubMed ID: 17069658
[TBL] [Abstract][Full Text] [Related]
29. Construction and analysis of dynamic transcription factor regulatory networks in the progression of glioma.
Li Y; Shao T; Jiang C; Bai J; Wang Z; Zhang J; Zhang L; Zhao Z; Xu J; Li X
Sci Rep; 2015 Nov; 5():15953. PubMed ID: 26526635
[TBL] [Abstract][Full Text] [Related]
30. Integrated analyses to reconstruct microRNA-mediated regulatory networks in mouse liver using high-throughput profiling.
Hsu SD; Huang HY; Chou CH; Sun YM; Hsu MT; Tsou AP
BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S12. PubMed ID: 25707768
[TBL] [Abstract][Full Text] [Related]
31. Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities.
Fu Y; Jarboe LR; Dickerson JA
BMC Bioinformatics; 2011 Jun; 12():233. PubMed ID: 21668997
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Estimating survival time of patients with glioblastoma multiforme and characterization of the identified microRNA signatures.
Yerukala Sathipati S; Huang HL; Ho SY
BMC Genomics; 2016 Dec; 17(Suppl 13):1022. PubMed ID: 28155650
[TBL] [Abstract][Full Text] [Related]
34. Benchmark and integration of resources for the estimation of human transcription factor activities.
Garcia-Alonso L; Holland CH; Ibrahim MM; Turei D; Saez-Rodriguez J
Genome Res; 2019 Aug; 29(8):1363-1375. PubMed ID: 31340985
[TBL] [Abstract][Full Text] [Related]
35. Identification of context-specific gene regulatory networks with GEMULA--gene expression modeling using LAsso.
Geeven G; van Kesteren RE; Smit AB; de Gunst MC
Bioinformatics; 2012 Jan; 28(2):214-21. PubMed ID: 22106333
[TBL] [Abstract][Full Text] [Related]
36. Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data.
Chang C; Ding Z; Hung YS; Fung PC
Bioinformatics; 2008 Jun; 24(11):1349-58. PubMed ID: 18400771
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Yeast cell cycle transcription factors identification by variable selection criteria.
Wang H; Wang YH; Wu WS
Gene; 2011 Oct; 485(2):172-6. PubMed ID: 21703335
[TBL] [Abstract][Full Text] [Related]
39. Identifying combinatorial regulation of transcription factors and binding motifs.
Kato M; Hata N; Banerjee N; Futcher B; Zhang MQ
Genome Biol; 2004; 5(8):R56. PubMed ID: 15287978
[TBL] [Abstract][Full Text] [Related]
40. Identification and characterization of lncRNA mediated transcriptional dysregulation dictates lncRNA roles in glioblastoma.
Li Y; Wang Z; Wang Y; Zhao Z; Zhang J; Lu J; Xu J; Li X
Oncotarget; 2016 Jul; 7(29):45027-45041. PubMed ID: 26943771
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
