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 *

123 related articles for article (PubMed ID: 17666754)

  • 21. Extracting active pathways from gene expression data.
    Vert JP; Kanehisa M
    Bioinformatics; 2003 Oct; 19 Suppl 2():ii238-44. PubMed ID: 14534196
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Exploiting the bootstrap method for quantifying parameter confidence intervals in dynamical systems.
    Joshi M; Seidel-Morgenstern A; Kremling A
    Metab Eng; 2006 Sep; 8(5):447-55. PubMed ID: 16793301
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Benchmarking of dynamic Bayesian networks inferred from stochastic time-series data.
    David LA; Wiggins CH
    Ann N Y Acad Sci; 2007 Dec; 1115():90-101. PubMed ID: 17925346
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A knowledge based approach for representing and reasoning about signaling networks.
    Baral C; Chancellor K; Tran N; Tran NL; Joy A; Berens M
    Bioinformatics; 2004 Aug; 20 Suppl 1():i15-22. PubMed ID: 15262776
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Decoupling dynamical systems for pathway identification from metabolic profiles.
    Voit EO; Almeida J
    Bioinformatics; 2004 Jul; 20(11):1670-81. PubMed ID: 14988125
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Dynamical systems for discovering protein complexes and functional modules from biological networks.
    Li W; Liu Y; Huang HC; Peng Y; Lin Y; Ng WK; Ong KL
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(2):233-50. PubMed ID: 17473317
    [TBL] [Abstract][Full Text] [Related]  

  • 27. An Optimization-Based Framework for the Transformation of Incomplete Biological Knowledge into a Probabilistic Structure and Its Application to the Utilization of Gene/Protein Signaling Pathways in Discrete Phenotype Classification.
    Esfahani MS; Dougherty ER
    IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(6):1304-21. PubMed ID: 26671803
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Reduced modeling of signal transduction - a modular approach.
    Koschorreck M; Conzelmann H; Ebert S; Ederer M; Gilles ED
    BMC Bioinformatics; 2007 Sep; 8():336. PubMed ID: 17854494
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Validating module network learning algorithms using simulated data.
    Michoel T; Maere S; Bonnet E; Joshi A; Saeys Y; Van den Bulcke T; Van Leemput K; van Remortel P; Kuiper M; Marchal K; Van de Peer Y
    BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S5. PubMed ID: 17493254
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.
    Lakrisenko P; Stapor P; Grein S; Paszkowski Ł; Pathirana D; Fröhlich F; Lines GT; Weindl D; Hasenauer J
    PLoS Comput Biol; 2023 Jan; 19(1):e1010783. PubMed ID: 36595539
    [TBL] [Abstract][Full Text] [Related]  

  • 31. LASSIM-A network inference toolbox for genome-wide mechanistic modeling.
    Magnusson R; Mariotti GP; Köpsén M; Lövfors W; Gawel DR; Jörnsten R; Linde J; Nordling TEM; Nyman E; Schulze S; Nestor CE; Zhang H; Cedersund G; Benson M; Tjärnberg A; Gustafsson M
    PLoS Comput Biol; 2017 Jun; 13(6):e1005608. PubMed ID: 28640810
    [TBL] [Abstract][Full Text] [Related]  

  • 32. In silico Biochemical Reaction Network Analysis (IBRENA): a package for simulation and analysis of reaction networks.
    Liu G; Neelamegham S
    Bioinformatics; 2008 Apr; 24(8):1109-11. PubMed ID: 18310056
    [TBL] [Abstract][Full Text] [Related]  

  • 33. On the Variable Ordering in Subgraph Isomorphism Algorithms.
    Bonnici V; Giugno R
    IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(1):193-203. PubMed ID: 26761859
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inference.
    Quach M; Brunel N; d'Alché-Buc F
    Bioinformatics; 2007 Dec; 23(23):3209-16. PubMed ID: 18042557
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evolutionary optimization with data collocation for reverse engineering of biological networks.
    Tsai KY; Wang FS
    Bioinformatics; 2005 Apr; 21(7):1180-8. PubMed ID: 15513993
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Learning regulatory programs that accurately predict differential expression with MEDUSA.
    Kundaje A; Lianoglou S; Li X; Quigley D; Arias M; Wiggins CH; Zhang L; Leslie C
    Ann N Y Acad Sci; 2007 Dec; 1115():178-202. PubMed ID: 17934055
    [TBL] [Abstract][Full Text] [Related]  

  • 37. [Estimating the parameters of signal transduction pathways with Levenberg-Marquardt algorithm].
    Liu T; Jia J; Wang H; Yue H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2009 Feb; 26(1):22-9. PubMed ID: 19334547
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A structured approach for the engineering of biochemical network models, illustrated for signalling pathways.
    Breitling R; Gilbert D; Heiner M; Orton R
    Brief Bioinform; 2008 Sep; 9(5):404-21. PubMed ID: 18573813
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements.
    Leander J; Lundh T; Jirstrand M
    Math Biosci; 2014 May; 251():54-62. PubMed ID: 24631177
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Efficient classification of complete parameter regions based on semidefinite programming.
    Kuepfer L; Sauer U; Parrilo PA
    BMC Bioinformatics; 2007 Jan; 8():12. PubMed ID: 17224043
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.