These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

104 related articles for article (PubMed ID: 24927837)

  • 21. Biological Network Inference and analysis using SEBINI and CABIN.
    Taylor R; Singhal M
    Methods Mol Biol; 2009; 541():551-76. PubMed ID: 19381531
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Modeling gene expression regulatory networks with the sparse vector autoregressive model.
    Fujita A; Sato JR; Garay-Malpartida HM; Yamaguchi R; Miyano S; Sogayar MC; Ferreira CE
    BMC Syst Biol; 2007 Aug; 1():39. PubMed ID: 17761000
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Where are we in genomics?
    Hocquette JF
    J Physiol Pharmacol; 2005 Jun; 56 Suppl 3():37-70. PubMed ID: 16077195
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Estimation of nonlinear gene regulatory networks via L1 regularized NVAR from time series gene expression data.
    Kojima K; Fujita A; Shimamura T; Imoto S; Miyano S
    Genome Inform; 2008; 20():37-51. PubMed ID: 19425121
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An estimation method for a cellular-state-specific gene regulatory network along tree-structured gene expression profiles.
    Araki R; Seno S; Takenaka Y; Matsuda H
    Gene; 2013 Apr; 518(1):17-25. PubMed ID: 23266644
    [TBL] [Abstract][Full Text] [Related]  

  • 26. List-decoding methods for inferring polynomials in finite dynamical gene network models.
    Dingel J; Milenkovic O
    Bioinformatics; 2009 Jul; 25(13):1686-93. PubMed ID: 19401400
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Efficient key pathway mining: combining networks and OMICS data.
    Alcaraz N; Friedrich T; Kötzing T; Krohmer A; Müller J; Pauling J; Baumbach J
    Integr Biol (Camb); 2012 Jul; 4(7):756-64. PubMed ID: 22353882
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. A comparative study of statistical methods used to identify dependencies between gene expression signals.
    de Siqueira Santos S; Takahashi DY; Nakata A; Fujita A
    Brief Bioinform; 2014 Nov; 15(6):906-18. PubMed ID: 23962479
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Inferring gene regulatory networks by integrating static and dynamic data.
    Ferrazzi F; Magni P; Sacchi L; Nuzzo A; Petrovic U; Bellazzi R
    Int J Med Inform; 2007 Dec; 76 Suppl 3():S462-75. PubMed ID: 17825607
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Modeling and analyzing complex biological networks incooperating experimental information on both network topology and stable states.
    Zou YM
    Bioinformatics; 2010 Aug; 26(16):2037-41. PubMed ID: 20601441
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Gene regulatory network inference: data integration in dynamic models-a review.
    Hecker M; Lambeck S; Toepfer S; van Someren E; Guthke R
    Biosystems; 2009 Apr; 96(1):86-103. PubMed ID: 19150482
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A Markovian approach to the control of genetic regulatory networks.
    Chen PC; Chen JW
    Biosystems; 2007; 90(2):535-45. PubMed ID: 17320274
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Reverse engineering of gene networks with LASSO and nonlinear basis functions.
    Gustafsson M; Hörnquist M; Lundström J; Björkegren J; Tegnér J
    Ann N Y Acad Sci; 2009 Mar; 1158():265-75. PubMed ID: 19348648
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Simultaneous inference and clustering of transcriptional dynamics in gene regulatory networks.
    Asif HM; Sanguinetti G
    Stat Appl Genet Mol Biol; 2013 Oct; 12(5):545-57. PubMed ID: 24051920
    [TBL] [Abstract][Full Text] [Related]  

  • 36. EXAMINE: a computational approach to reconstructing gene regulatory networks.
    Deng X; Geng H; Ali H
    Biosystems; 2005 Aug; 81(2):125-36. PubMed ID: 15951103
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Data identification for improving gene network inference using computational algebra.
    Dimitrova E; Stigler B
    Bull Math Biol; 2014 Nov; 76(11):2923-40. PubMed ID: 25280666
    [TBL] [Abstract][Full Text] [Related]  

  • 38. OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networks.
    Lim N; Senbabaoglu Y; Michailidis G; d'Alché-Buc F
    Bioinformatics; 2013 Jun; 29(11):1416-23. PubMed ID: 23574736
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Robust non-linear differential equation models of gene expression evolution across Drosophila development.
    Haye A; Albert J; Rooman M
    BMC Res Notes; 2012 Jan; 5():46. PubMed ID: 22260205
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Genomic data assimilation using a higher moment filtering technique for restoration of gene regulatory networks.
    Hasegawa T; Mori T; Yamaguchi R; Shimamura T; Miyano S; Imoto S; Akutsu T
    BMC Syst Biol; 2015 Mar; 9():14. PubMed ID: 25890175
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.