BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

204 related articles for article (PubMed ID: 23977043)

  • 1. No control genes required: Bayesian analysis of qRT-PCR data.
    Matz MV; Wright RM; Scott JG
    PLoS One; 2013; 8(8):e71448. PubMed ID: 23977043
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Lifting a veil on diversity: a Bayesian approach to fitting relative-abundance models.
    Golicher DJ; O'Hara RB; Ruíz-Montoya L; Cayuela L
    Ecol Appl; 2006 Feb; 16(1):202-12. PubMed ID: 16705973
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters.
    Mathew B; Bauer AM; Koistinen P; Reetz TC; Léon J; Sillanpää MJ
    Heredity (Edinb); 2012 Oct; 109(4):235-45. PubMed ID: 22805656
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring heterogeneity in tumour data using Markov chain Monte Carlo.
    de Gunst MC; Dewanji A; Luebeck EG
    Stat Med; 2003 May; 22(10):1691-707. PubMed ID: 12720305
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian state-space modeling in gene expression data analysis: An application with biomarker prediction.
    Bhattacharjee A; Vishwakarma GK; Thomas A
    Math Biosci; 2018 Nov; 305():96-101. PubMed ID: 30194959
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation.
    Bresson G; Chaturvedi A; Rahman MA; Shalabh
    Int J Biostat; 2020 Sep; 17(1):75-97. PubMed ID: 32949454
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A menu-driven software package of Bayesian nonparametric (and parametric) mixed models for regression analysis and density estimation.
    Karabatsos G
    Behav Res Methods; 2017 Feb; 49(1):335-362. PubMed ID: 26956682
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Study on mapping quantitative trait loci for animal complex binary traits using Bayesian-Markov chain Monte Carlo approach.
    Liu J; Zhang Y; Zhang Q; Wang L; Zhang J
    Sci China C Life Sci; 2006 Dec; 49(6):552-9. PubMed ID: 17312993
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Efficient Markov chain Monte Carlo methods for decoding neural spike trains.
    Ahmadian Y; Pillow JW; Paninski L
    Neural Comput; 2011 Jan; 23(1):46-96. PubMed ID: 20964539
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A powerful and flexible linear mixed model framework for the analysis of relative quantification RT-PCR data.
    Steibel JP; Poletto R; Coussens PM; Rosa GJ
    Genomics; 2009 Aug; 94(2):146-52. PubMed ID: 19422910
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A simple introduction to Markov Chain Monte-Carlo sampling.
    van Ravenzwaaij D; Cassey P; Brown SD
    Psychon Bull Rev; 2018 Feb; 25(1):143-154. PubMed ID: 26968853
    [TBL] [Abstract][Full Text] [Related]  

  • 12. RWTY (R We There Yet): An R Package for Examining Convergence of Bayesian Phylogenetic Analyses.
    Warren DL; Geneva AJ; Lanfear R
    Mol Biol Evol; 2017 Apr; 34(4):1016-1020. PubMed ID: 28087773
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Estimating sampling error of evolutionary statistics based on genetic covariance matrices using maximum likelihood.
    Houle D; Meyer K
    J Evol Biol; 2015 Aug; 28(8):1542-9. PubMed ID: 26079756
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian gene/species tree reconciliation and orthology analysis using MCMC.
    Arvestad L; Berglund AC; Lagergren J; Sennblad B
    Bioinformatics; 2003; 19 Suppl 1():i7-15. PubMed ID: 12855432
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A bayesian approach to detect quantitative trait loci using Markov chain Monte Carlo.
    Satagopan JM; Yandell BS; Newton MA; Osborn TC
    Genetics; 1996 Oct; 144(2):805-16. PubMed ID: 8889541
    [TBL] [Abstract][Full Text] [Related]  

  • 16. GSEVM v.2: MCMC software to analyze genetically structured environmental variance models.
    Ibáñez-Escriche N; Garcia M; Sorensen D
    J Anim Breed Genet; 2010 Jun; 127(3):249-51. PubMed ID: 20536643
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficiency of alternative MCMC strategies illustrated using the reaction norm model.
    Shariati M; Sorensen D
    J Anim Breed Genet; 2008 Jun; 125(3):176-86. PubMed ID: 18479268
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Joint oligogenic segregation and linkage analysis using bayesian Markov chain Monte Carlo methods.
    Wijsman EM; Yu D
    Mol Biotechnol; 2004 Nov; 28(3):205-26. PubMed ID: 15542922
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Harnessing the theoretical foundations of the exponential and beta-Poisson dose-response models to quantify parameter uncertainty using Markov Chain Monte Carlo.
    Schmidt PJ; Pintar KD; Fazil AM; Topp E
    Risk Anal; 2013 Sep; 33(9):1677-93. PubMed ID: 23311599
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bayesian parameter inference by Markov chain Monte Carlo with hybrid fitness measures: theory and test in apoptosis signal transduction network.
    Murakami Y; Takada S
    PLoS One; 2013; 8(9):e74178. PubMed ID: 24086320
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.