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 *

169 related articles for article (PubMed ID: 30194959)

  • 1. 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]  

  • 2. Bayesian state space models for inferring and predicting temporal gene expression profiles.
    Liang Y; Kelemen A
    Biom J; 2007 Dec; 49(6):801-14. PubMed ID: 17638289
    [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. A Bayesian mixture model for partitioning gene expression data.
    Zhou C; Wakefield J
    Biometrics; 2006 Jun; 62(2):515-25. PubMed ID: 16918916
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bayesian state space models for dynamic genetic network construction across multiple tissues.
    Liang Y; Kelemen A
    Stat Appl Genet Mol Biol; 2016 Aug; 15(4):273-90. PubMed ID: 27343475
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian restoration of a hidden Markov chain with applications to DNA sequencing.
    Churchill GA; Lazareva B
    J Comput Biol; 1999; 6(2):261-77. PubMed ID: 10421527
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Genomic Bayesian Multi-trait and Multi-environment Model.
    Montesinos-López OA; Montesinos-López A; Crossa J; Toledo FH; Pérez-Hernández O; Eskridge KM; Rutkoski J
    G3 (Bethesda); 2016 Sep; 6(9):2725-44. PubMed ID: 27342738
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian phylogeny analysis via stochastic approximation Monte Carlo.
    Cheon S; Liang F
    Mol Phylogenet Evol; 2009 Nov; 53(2):394-403. PubMed ID: 19589389
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian phylogenetic inference via Markov chain Monte Carlo methods.
    Mau B; Newton MA; Larget B
    Biometrics; 1999 Mar; 55(1):1-12. PubMed ID: 11318142
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A gradient Markov chain Monte Carlo algorithm for computing multivariate maximum likelihood estimates and posterior distributions: mixture dose-response assessment.
    Li R; Englehardt JD; Li X
    Risk Anal; 2012 Feb; 32(2):345-59. PubMed ID: 21906114
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genomic prediction using an iterative conditional expectation algorithm for a fast BayesC-like model.
    Dong L; Wang Z
    Genetica; 2018 Oct; 146(4-5):361-368. PubMed ID: 29948517
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian robust inference for differential gene expression in microarrays with multiple samples.
    Gottardo R; Raftery AE; Yeung KY; Bumgarner RE
    Biometrics; 2006 Mar; 62(1):10-8. PubMed ID: 16542223
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian Variable Selection in Multilevel Item Response Theory Models with Application in Genomics.
    Fragoso TM; de Andrade M; Pereira AC; Rosa GJ; Soler JM
    Genet Epidemiol; 2016 Apr; 40(3):253-63. PubMed ID: 27027518
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Fitting genetic models using Markov Chain Monte Carlo algorithms with BUGS.
    van den Berg SM; Beem L; Boomsma DI
    Twin Res Hum Genet; 2006 Jun; 9(3):334-42. PubMed ID: 16790144
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Using Bayesian networks to analyze expression data.
    Friedman N; Linial M; Nachman I; Pe'er D
    J Comput Biol; 2000; 7(3-4):601-20. PubMed ID: 11108481
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A continuous-index hidden Markov jump process for modeling DNA copy number data.
    Stjernqvist S; Rydén T
    Biostatistics; 2009 Oct; 10(4):773-8. PubMed ID: 19628640
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Kullback-Leibler Markov chain Monte Carlo--a new algorithm for finite mixture analysis and its application to gene expression data.
    Tatarinova T; Bouck J; Schumitzky A
    J Bioinform Comput Biol; 2008 Aug; 6(4):727-46. PubMed ID: 18763739
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exact Variance-Reduced Simulation of Lattice Continuous-Time Markov Chains with Applications in Reaction Networks.
    Maginnis PA; West M; Dullerud GE
    Bull Math Biol; 2019 Aug; 81(8):3159-3184. PubMed ID: 30761456
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.