138 related articles for article (PubMed ID: 19057902)
1. A quantitative approach for polymerase chain reactions based on a hidden Markov model.
Lalam N
J Math Biol; 2009 Oct; 59(4):517-33. PubMed ID: 19057902
[TBL] [Abstract][Full Text] [Related]
2. Statistical inference for quantitative polymerase chain reaction using a hidden markov model: a Bayesian approach.
Lalam N
Stat Appl Genet Mol Biol; 2007; 6():Article10. PubMed ID: 17402916
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Absolute estimation of initial concentrations of amplicon in a real-time RT-PCR process.
Smith MV; Miller CR; Kohn M; Walker NJ; Portier CJ
BMC Bioinformatics; 2007 Oct; 8():409. PubMed ID: 17956631
[TBL] [Abstract][Full Text] [Related]
5. A Bayesian hierarchical model for quantitative real-time PCR data.
Follestad T; Jørstad TS; Erlandsen SE; Sandvik AK; Bones AM; Langaas M
Stat Appl Genet Mol Biol; 2010; 9():Article 3. PubMed ID: 20196753
[TBL] [Abstract][Full Text] [Related]
6. Detecting recombination in 4-taxa DNA sequence alignments with Bayesian hidden Markov models and Markov chain Monte Carlo.
Husmeier D; McGuire G
Mol Biol Evol; 2003 Mar; 20(3):315-37. PubMed ID: 12644553
[TBL] [Abstract][Full Text] [Related]
7. A clustering approach for estimating parameters of a profile hidden Markov model.
Aghdam R; Pezeshk H; Malekpour SA; Shemehsavar S; Eslahchi C
Int J Data Min Bioinform; 2013; 8(1):66-82. PubMed ID: 23865165
[TBL] [Abstract][Full Text] [Related]
8. Computational methods for a class of network models.
Wang J; Jasra A; De Iorio M
J Comput Biol; 2014 Feb; 21(2):141-61. PubMed ID: 24144112
[TBL] [Abstract][Full Text] [Related]
9. The real-time polymerase chain reaction.
Kubista M; Andrade JM; Bengtsson M; Forootan A; Jonák J; Lind K; Sindelka R; Sjöback R; Sjögreen B; Strömbom L; Ståhlberg A; Zoric N
Mol Aspects Med; 2006; 27(2-3):95-125. PubMed ID: 16460794
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Bayesian semiparametric intensity estimation for inhomogeneous spatial point processes.
Yue YR; Loh JM
Biometrics; 2011 Sep; 67(3):937-46. PubMed ID: 21175553
[TBL] [Abstract][Full Text] [Related]
12. Markov chain Monte Carlo without likelihoods.
Marjoram P; Molitor J; Plagnol V; Tavare S
Proc Natl Acad Sci U S A; 2003 Dec; 100(26):15324-8. PubMed ID: 14663152
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Hidden Markov model analysis of multichromophore photobleaching.
Messina TC; Kim H; Giurleo JT; Talaga DS
J Phys Chem B; 2006 Aug; 110(33):16366-76. PubMed ID: 16913765
[TBL] [Abstract][Full Text] [Related]
15. Data cloning: easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods.
Lele SR; Dennis B; Lutscher F
Ecol Lett; 2007 Jul; 10(7):551-63. PubMed ID: 17542934
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Bayesian internal dosimetry calculations using Markov Chain Monte Carlo.
Miller G; Martz HF; Little TT; Guilmette R
Radiat Prot Dosimetry; 2002; 98(2):191-8. PubMed ID: 11926369
[TBL] [Abstract][Full Text] [Related]
19. Analysis of the steps in single-molecule photobleaching traces by using the hidden markov model and maximum-likelihood clustering.
Yuan J; He K; Cheng M; Yu J; Fang X
Chem Asian J; 2014 Aug; 9(8):2303-8. PubMed ID: 24981813
[TBL] [Abstract][Full Text] [Related]
20. Polymerase chain reaction: a Markov process approach.
Velikanov MV; Kapral R
J Theor Biol; 1999 Dec; 201(4):239-49. PubMed ID: 10610754
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
