BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 33265657)

  • 21. A Bayesian approach to biomechanical modeling to optimize over large parameter spaces while considering anatomical variability.
    Santos VJ; Valero-Cuevas FJ
    Conf Proc IEEE Eng Med Biol Soc; 2004; 2004():4626-9. PubMed ID: 17271338
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.
    Dhamala J; Arevalo HJ; Sapp J; Horácek BM; Wu KC; Trayanova NA; Wang L
    Med Image Anal; 2018 Aug; 48():43-57. PubMed ID: 29843078
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Identification and estimation algorithm for stochastic neural system.
    Nakao M; Hara K; Kimura M; Sato R
    Biol Cybern; 1984; 50(4):241-9. PubMed ID: 6095932
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation.
    Zhang J; Modestino JW; Langan DA
    IEEE Trans Image Process; 1994; 3(4):404-20. PubMed ID: 18291939
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling.
    Adaszewski S; Slater D; Melie-Garcia L; Draganski B; Bogorodzki P
    Neuroimage; 2018 May; 172():175-193. PubMed ID: 29414493
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Bayesian restoration of ion channel records using hidden Markov models.
    Rosales R; Stark JA; Fitzgerald WJ; Hladky SB
    Biophys J; 2001 Mar; 80(3):1088-103. PubMed ID: 11222275
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection.
    Song Q; Sun Y; Ye M; Liang F
    Biometrika; 2020 Dec; 107(4):997-1004. PubMed ID: 34305153
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms.
    Wang H; Liao X; Wang Z; Huang T; Chen G
    Neural Netw; 2016 Jan; 73():1-9. PubMed ID: 26490219
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Performance comparison of first-order conditional estimation with interaction and Bayesian estimation methods for estimating the population parameters and its distribution from data sets with a low number of subjects.
    Pradhan S; Song B; Lee J; Chae JW; Kim KI; Back HM; Han N; Kwon KI; Yun HY
    BMC Med Res Methodol; 2017 Dec; 17(1):154. PubMed ID: 29191177
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Optimal Control Algorithm for Stochastic Systems with Parameter Drift.
    Zhang X; Gao S; Chen C; Huang J
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420908
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Bayesian Estimation of Correlation between Measures of Blood Pressure Indices, Aerobic Capacity and Resting Heart Rate Variability Using Markov Chain Monte Carlo Simulation and 95% High Density Interval in Female School Teachers.
    Shalfawi SAI
    Int J Environ Res Public Health; 2020 Sep; 17(18):. PubMed ID: 32947985
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A finite state projection method for steady-state sensitivity analysis of stochastic reaction networks.
    Dürrenberger P; Gupta A; Khammash M
    J Chem Phys; 2019 Apr; 150(13):134101. PubMed ID: 30954061
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Extended state-space Monte Carlo methods.
    Opps SB; Schofield J
    Phys Rev E Stat Nonlin Soft Matter Phys; 2001 May; 63(5 Pt 2):056701. PubMed ID: 11415039
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Set-valued mode recognition-based Bayesian estimation for nonlinear stochastic systems with unknown sensor mode.
    Zhang W; Liang Y; Yang F; Liu S; Cao J
    ISA Trans; 2022 Apr; 123():303-311. PubMed ID: 34045016
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Connecting PM and MAP in Bayesian spectral deconvolution by extending exchange Monte Carlo method and using multiple data sets.
    Motonaka K; Miyoshi S
    Neural Netw; 2019 Oct; 118():159-166. PubMed ID: 31279286
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Bayesian Computational Methods for Sampling from the Posterior Distribution of a Bivariate Survival Model, Based on AMH Copula in the Presence of Right-Censored Data.
    Saraiva EF; Suzuki AK; Milan LA
    Entropy (Basel); 2018 Aug; 20(9):. PubMed ID: 33265731
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Bayesian and Markov chain Monte Carlo methods for identifying nonlinear systems in the presence of uncertainty.
    Green PL; Worden K
    Philos Trans A Math Phys Eng Sci; 2015 Sep; 373(2051):. PubMed ID: 26303916
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Parallel tempering for strongly nonlinear geoacoustic inversion.
    Dosso SE; Holland CW; Sambridge M
    J Acoust Soc Am; 2012 Nov; 132(5):3030-40. PubMed ID: 23145589
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of approaches for parameter estimation on stochastic models: Generic least squares versus specialized approaches.
    Zimmer C; Sahle S
    Comput Biol Chem; 2016 Apr; 61():75-85. PubMed ID: 26826353
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Lidar Waveform-Based Analysis of Depth Images Constructed Using Sparse Single-Photon Data.
    Altmann Y; Ren X; McCarthy A; Buller GS; McLaughlin S
    IEEE Trans Image Process; 2016 May; 25(5):1935-46. PubMed ID: 26886984
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.