BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

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]
    of 14.