136 related articles for article (PubMed ID: 23829652)
1. Model discrimination in dynamic molecular systems: application to parotid de-differentiation network.
Kim J; Li J; Venkatesh SG; Darling DS; Rempala GA
J Comput Biol; 2013 Jul; 20(7):524-39. PubMed ID: 23829652
[TBL] [Abstract][Full Text] [Related]
2. Bifurcation analysis informs Bayesian inference in the Hes1 feedback loop.
Higham CF
BMC Syst Biol; 2009 Jan; 3():12. PubMed ID: 19171037
[TBL] [Abstract][Full Text] [Related]
3. A semi-parametric Bayesian model for semi-continuous longitudinal data.
Ren J; Tapert S; Fan CC; Thompson WK
Stat Med; 2022 Jun; 41(13):2354-2374. PubMed ID: 35274335
[TBL] [Abstract][Full Text] [Related]
4. Assessing convergence of Markov chain Monte Carlo simulations in hierarchical Bayesian models for population pharmacokinetics.
Dodds MG; Vicini P
Ann Biomed Eng; 2004 Sep; 32(9):1300-13. PubMed ID: 15493516
[TBL] [Abstract][Full Text] [Related]
5. A systems biology approach identifies a regulatory network in parotid acinar cell terminal differentiation.
Metzler MA; Venkatesh SG; Lakshmanan J; Carenbauer AL; Perez SM; Andres SA; Appana S; Brock GN; Wittliff JL; Darling DS
PLoS One; 2015; 10(4):e0125153. PubMed ID: 25928148
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging.
Nathoo FS; Lesperance ML; Lawson AB; Dean CB
Stat Methods Med Res; 2013 Aug; 22(4):398-423. PubMed ID: 22642986
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation.
Stathopoulos V; Girolami MA
Philos Trans A Math Phys Eng Sci; 2013 Feb; 371(1984):20110541. PubMed ID: 23277599
[TBL] [Abstract][Full Text] [Related]
10. Adaptive Markov chain Monte Carlo forward projection for statistical analysis in epidemic modelling of human papillomavirus.
Korostil IA; Peters GW; Cornebise J; Regan DG
Stat Med; 2013 May; 32(11):1917-53. PubMed ID: 22961869
[TBL] [Abstract][Full Text] [Related]
11. Characterization of human and rat immortalized clones parotid acinar cells with respect to specific proteins and their mRNAs, and receptor-linked adenylate cyclase.
Prasad KN; Kumar S; Carvalho E; Edwards-Prasad J; Kumar R; La Rosa FG; Larsen BB; Ann D
In Vitro Cell Dev Biol Anim; 1995 Nov; 31(10):767-72. PubMed ID: 8564065
[TBL] [Abstract][Full Text] [Related]
12. Inference of regulatory networks with a convergence improved MCMC sampler.
Agostinho NB; Machado KS; Werhli AV
BMC Bioinformatics; 2015 Sep; 16():306. PubMed ID: 26399857
[TBL] [Abstract][Full Text] [Related]
13. Markov chain Monte Carlo simulation of a Bayesian mixture model for gene network inference.
Ko Y; Kim J; Rodriguez-Zas SL
Genes Genomics; 2019 May; 41(5):547-555. PubMed ID: 30741379
[TBL] [Abstract][Full Text] [Related]
14. A Bayesian Change Point Model for Dynamic Alternative Transcription Start Site Usage During Cellular Differentiation.
Xia J; Li Y; Zhu H; Xue F; Shi F; Li N
J Comput Biol; 2024 May; 31(5):445-457. PubMed ID: 38752891
[No Abstract] [Full Text] [Related]
15. A Probabilistic Framework for Molecular Network Structure Inference by Means of Mechanistic Modeling.
Timonen J; Mannerstrom H; Lahdesmaki H; Intosalmi J
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(6):1843-1854. PubMed ID: 29993837
[TBL] [Abstract][Full Text] [Related]
16. Bayesian hierarchical model for analyzing multiresponse longitudinal pharmacokinetic data.
Zhao L; Xia Z
Stat Med; 2017 Dec; 36(30):4816-4830. PubMed ID: 28960369
[TBL] [Abstract][Full Text] [Related]
17. Secretory protein expression patterns during rat parotid gland development.
Sivakumar S; Mirels L; Miranda AJ; Hand AR
Anat Rec; 1998 Nov; 252(3):485-97. PubMed ID: 9811227
[TBL] [Abstract][Full Text] [Related]
18. Fitting Bayesian Stochastic Differential Equation Models with Mixed Effects through a Filtering Approach.
Chen M; Chow SM; Oravecz Z; Ferrer E
Multivariate Behav Res; 2023; 58(5):1014-1038. PubMed ID: 36848197
[TBL] [Abstract][Full Text] [Related]
19. Markov chain Monte Carlo methods for state-space models with point process observations.
Yuan K; Girolami M; Niranjan M
Neural Comput; 2012 Jun; 24(6):1462-86. PubMed ID: 22364499
[TBL] [Abstract][Full Text] [Related]
20. On the reliability of NMR relaxation data analyses: a Markov Chain Monte Carlo approach.
Abergel D; Volpato A; Coutant EP; Polimeno A
J Magn Reson; 2014 Sep; 246():94-103. PubMed ID: 25117152
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]