280 related articles for article (PubMed ID: 22499684)
1. Transcriptional network inference from functional similarity and expression data: a global supervised approach.
Ambroise J; Robert A; Macq B; Gala JL
Stat Appl Genet Mol Biol; 2012 Jan; 11(1):Article 2. PubMed ID: 22499684
[TBL] [Abstract][Full Text] [Related]
2. Supervised inference of gene regulatory networks from positive and unlabeled examples.
Mordelet F; Vert JP
Methods Mol Biol; 2013; 939():47-58. PubMed ID: 23192540
[TBL] [Abstract][Full Text] [Related]
3. SIRENE: supervised inference of regulatory networks.
Mordelet F; Vert JP
Bioinformatics; 2008 Aug; 24(16):i76-82. PubMed ID: 18689844
[TBL] [Abstract][Full Text] [Related]
4. Quantifying transcriptional regulatory networks by integrating sequence features and microarray data.
Liu H
Bioprocess Biosyst Eng; 2010 May; 33(4):495-505. PubMed ID: 19657679
[TBL] [Abstract][Full Text] [Related]
5. Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm.
Wang M; Augusto Benedito V; Xuechun Zhao P; Udvardi M
Mol Biosyst; 2010 Jun; 6(6):988-98. PubMed ID: 20485743
[TBL] [Abstract][Full Text] [Related]
6. Inference of active transcriptional networks by integration of gene expression kinetics modeling and multisource data.
Vu TT; Vohradsky J
Genomics; 2009 May; 93(5):426-33. PubMed ID: 19442636
[TBL] [Abstract][Full Text] [Related]
7. Reconstruction of transcriptional network from microarray data using combined mutual information and network-assisted regression.
Wang XD; Qi YX; Jiang ZL
IET Syst Biol; 2011 Mar; 5(2):95-102. PubMed ID: 21405197
[TBL] [Abstract][Full Text] [Related]
8. Inference of regulatory gene interactions from expression data using three-way mutual information.
Watkinson J; Liang KC; Wang X; Zheng T; Anastassiou D
Ann N Y Acad Sci; 2009 Mar; 1158():302-13. PubMed ID: 19348651
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Computational identification of transcription factor binding sites via a transcription-factor-centric clustering (TFCC) algorithm.
Zhu Z; Pilpel Y; Church GM
J Mol Biol; 2002 Apr; 318(1):71-81. PubMed ID: 12054769
[TBL] [Abstract][Full Text] [Related]
11. Gene expression complex networks: synthesis, identification, and analysis.
Lopes FM; Cesar RM; Costa Lda F
J Comput Biol; 2011 Oct; 18(10):1353-67. PubMed ID: 21548810
[TBL] [Abstract][Full Text] [Related]
12. The condition-dependent transcriptional network in Escherichia coli.
Lemmens K; De Bie T; Dhollander T; Monsieurs P; De Moor B; Collado-Vides J; Engelen K; Marchal K
Ann N Y Acad Sci; 2009 Mar; 1158():29-35. PubMed ID: 19348629
[TBL] [Abstract][Full Text] [Related]
13. Identifying transcription factor targets using enhanced Bayesian classifier.
He D; Zhou D; Zhou Y
Comput Biol Chem; 2007 Oct; 31(5-6):355-60. PubMed ID: 17890157
[TBL] [Abstract][Full Text] [Related]
14. Nonlinear differential equation model for quantification of transcriptional regulation applied to microarray data of Saccharomyces cerevisiae.
Vu TT; Vohradsky J
Nucleic Acids Res; 2007; 35(1):279-87. PubMed ID: 17170011
[TBL] [Abstract][Full Text] [Related]
15. Enriching regulatory networks by bootstrap learning using optimised GO-based gene similarity and gene links mined from PubMed abstracts.
Taylor RC; Sanfilippo A; McDermott JE; Baddeley B; Riensche R; Jensen R; Verhagen M; Pustejovsky J
Int J Comput Biol Drug Des; 2011; 4(1):56-82. PubMed ID: 21330694
[TBL] [Abstract][Full Text] [Related]
16. Comparing association network algorithms for reverse engineering of large-scale gene regulatory networks: synthetic versus real data.
Soranzo N; Bianconi G; Altafini C
Bioinformatics; 2007 Jul; 23(13):1640-7. PubMed ID: 17485431
[TBL] [Abstract][Full Text] [Related]
17. Transcriptional networks: reverse-engineering gene regulation on a global scale.
Chua G; Robinson MD; Morris Q; Hughes TR
Curr Opin Microbiol; 2004 Dec; 7(6):638-46. PubMed ID: 15556037
[TBL] [Abstract][Full Text] [Related]
18. Genome-wide prediction of transcriptional regulatory elements of human promoters using gene expression and promoter analysis data.
Kim SY; Kim Y
BMC Bioinformatics; 2006 Jul; 7():330. PubMed ID: 16817975
[TBL] [Abstract][Full Text] [Related]
19. A hybrid Bayesian network learning method for constructing gene networks.
Wang M; Chen Z; Cloutier S
Comput Biol Chem; 2007 Oct; 31(5-6):361-72. PubMed ID: 17889617
[TBL] [Abstract][Full Text] [Related]
20. Identification of regulatory network topological units coordinating the genome-wide transcriptional response to glucose in Escherichia coli.
Gutierrez-RĂos RM; Freyre-Gonzalez JA; Resendis O; Collado-Vides J; Saier M; Gosset G
BMC Microbiol; 2007 Jun; 7():53. PubMed ID: 17559662
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]