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 *

329 related articles for article (PubMed ID: 25747415)

  • 41. Inferring parameters for a lattice-free model of cell migration and proliferation using experimental data.
    Browning AP; McCue SW; Binny RN; Plank MJ; Shah ET; Simpson MJ
    J Theor Biol; 2018 Jan; 437():251-260. PubMed ID: 29102643
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Variability and uncertainty of biokinetic model parameters: the discrete empirical Bayes approximation.
    Miller G
    Radiat Prot Dosimetry; 2008; 131(3):394-8. PubMed ID: 18689801
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators.
    Jiang RM; Wrede F; Singh P; Hellander A; Petzold LR
    BMC Bioinformatics; 2021 Jun; 22(1):339. PubMed ID: 34162329
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Combining formal methods and Bayesian approach for inferring discrete-state stochastic models from steady-state data.
    Klein J; Phung H; Hajnal M; Šafránek D; Petrov T
    PLoS One; 2023; 18(11):e0291151. PubMed ID: 37956126
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Bayesian Estimation for Stochastic Gene Expression Using Multifidelity Models.
    Vo HD; Fox Z; Baetica A; Munsky B
    J Phys Chem B; 2019 Mar; 123(10):2217-2234. PubMed ID: 30777763
    [TBL] [Abstract][Full Text] [Related]  

  • 46. The ABC of reverse engineering biological signalling systems.
    Secrier M; Toni T; Stumpf MP
    Mol Biosyst; 2009 Dec; 5(12):1925-35. PubMed ID: 19798456
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Sensitivity of edge detection methods for quantifying cell migration assays.
    Treloar KK; Simpson MJ
    PLoS One; 2013; 8(6):e67389. PubMed ID: 23826283
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Microsimulation Model Calibration with Approximate Bayesian Computation in R: A Tutorial.
    Shewmaker P; Chrysanthopoulou SA; Iskandar R; Lake D; Jutkowitz E
    Med Decis Making; 2022 Jul; 42(5):557-570. PubMed ID: 35311401
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Mathematical Modelling of Parasite Dynamics: A Stochastic Simulation-Based Approach and Parameter Estimation via Modified Sequential-Type Approximate Bayesian Computation.
    Twumasi C; Cable J; Pepelyshev A
    Bull Math Biol; 2024 Apr; 86(5):54. PubMed ID: 38598133
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Using Experimental Data and Information Criteria to Guide Model Selection for Reaction-Diffusion Problems in Mathematical Biology.
    Warne DJ; Baker RE; Simpson MJ
    Bull Math Biol; 2019 Jun; 81(6):1760-1804. PubMed ID: 30815837
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Selecting summary statistics in approximate Bayesian computation for calibrating stochastic models.
    Burr T; Skurikhin A
    Biomed Res Int; 2013; 2013():210646. PubMed ID: 24288668
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Inference in high-dimensional parameter space.
    O'Hare A
    J Comput Biol; 2015 Nov; 22(11):997-1004. PubMed ID: 26176624
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Approximate Bayesian computation (ABC) gives exact results under the assumption of model error.
    Wilkinson RD
    Stat Appl Genet Mol Biol; 2013 May; 12(2):129-41. PubMed ID: 23652634
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread.
    Asher M; Lomax N; Morrissey K; Spooner F; Malleson N
    Sci Rep; 2023 May; 13(1):8637. PubMed ID: 37244962
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Parallelization and High-Performance Computing Enables Automated Statistical Inference of Multi-scale Models.
    Jagiella N; Rickert D; Theis FJ; Hasenauer J
    Cell Syst; 2017 Feb; 4(2):194-206.e9. PubMed ID: 28089542
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Bayesian inference of constitutive model parameters from uncertain uniaxial experiments on murine tendons.
    Akintunde AR; Miller KS; Schiavazzi DE
    J Mech Behav Biomed Mater; 2019 Aug; 96():285-300. PubMed ID: 31078970
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Lattice-free descriptions of collective motion with crowding and adhesion.
    Johnston ST; Simpson MJ; Plank MJ
    Phys Rev E Stat Nonlin Soft Matter Phys; 2013 Dec; 88(6):062720. PubMed ID: 24483499
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Optimal intervention for an epidemic model under parameter uncertainty.
    Clancy D; Green N
    Math Biosci; 2007 Feb; 205(2):297-314. PubMed ID: 17070866
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Bayesian inference for stochastic kinetic models using a diffusion approximation.
    Golightly A; Wilkinson DJ
    Biometrics; 2005 Sep; 61(3):781-8. PubMed ID: 16135029
    [TBL] [Abstract][Full Text] [Related]  

  • 60. A Bayesian framework for the detection of diffusive heterogeneity.
    Cass JA; Williams CD; Theriot J
    PLoS One; 2020; 15(5):e0221841. PubMed ID: 32379846
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.