Paul Marjoram - researchr alias

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Viewing Publication 1 - 11 from 11

2021

Bayesian parameter estimation for automatic annotation of gene functions using observational data and phylogenetic treesGeorge G. Vega Yon, Duncan C. Thomas, John Morrison, Huaiyu Mi, Paul D. Thomas, Paul Marjoram. ploscb, 17(2), 2021. [doi]

2019

fmcmc: A friendly MCMC frameworkGeorge Yon, Paul Marjoram. jossw, 4(39):1427, 2019. [doi]

slurmR: A lightweight wrapper for HPC with SlurmGeorge Yon, Paul Marjoram. jossw, 4(39):1493, 2019. [doi]

Bayesian model selection for the Drosophila gap gene networkAsif Zubair, I. Gary Rosen, Sergey V. Nuzhdin, Paul Marjoram. bmcbi, 20(1), 2019. [doi]

2015

Simulation-based bayesian analysis of complex dataPaul Marjoram, Steven Hamblin, Brad Foley. summersim 2015: 1-8 [doi]

al3c: high-performance software for parameter inference using Approximate Bayesian ComputationAlex H. Stram, Paul Marjoram, Gary K. Chen. bioinformatics, 31(21):3549-3551, 2015. [doi]

2012

Preface: Special IssueTing Chen, Paul Marjoram, Fengzhu Sun, Jasmine Xianghong Zhou. jcb, 19(6):575-576, 2012. [doi]

Exact coalescent simulation of new haplotype data from existing reference haplotypesChul Joo Kang, Paul Marjoram. bioinformatics, 28(6):838-844, 2012. [doi]

2011

Modeling measurement error in tumor characterization studiesCyril Rakovski, Daniel J. Weisenberger, Paul Marjoram, Peter W. Laird, Kimberly D. Siegmund. bmcbi, 12:284, 2011. [doi]

2006

Using Neural Nets to Estimate Evolutionary ParametersChi-Chiang Lee, Paul Marjoram. psb 2006: 511-517

Cluster analysis for DNA methylation profiles having a detection thresholdPaul Marjoram, Jing Chang, Peter W. Laird, Kimberly D. Siegmund. bmcbi, 7:361, 2006. [doi]

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