Asger Hobolth

Works (3)

Updated: July 5th, 2023 15:56

2008 journal article

A Markov chain Monte Carlo expectation maximization algorithm for statistical analysis of DNA sequence evolution with neighbor-dependent substitution rates

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 17(1), 138–162.

By: A. Hobolth*

author keywords: EM-algorithm; Gibbs sampling; likelihood inference; molecular evolution; neighbor-dependence; path sampling
TL;DR: This work describes statistical inference of neighbor-dependent models using a Markov chain Monte Carlo expectation maximization (MCMC-EM) algorithm and estimates the high-dimensional integrals required in the EM algorithm are estimated using MCMC sampling. (via Semantic Scholar)
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Added: August 6, 2018

2006 journal article

CpG plus CpNpG analysis of protein-coding sequences from tomato

MOLECULAR BIOLOGY AND EVOLUTION, 23(6), 1318–1323.

By: A. Hobolth n, R. Nielsen, Y. Wang, F. Wu & S. Tanksley

author keywords: codon model; context dependency; CpG plus CpNpG methylation
MeSH headings : Base Composition; CpG Islands / genetics; DNA Methylation; Genes, Plant; Solanum lycopersicum / genetics; Models, Genetic; Mutation
TL;DR: The results suggest different roles of CpG and CpNpG methylation, with Cp npG possibly playing a specialized role in defense against transposons and RNA viruses. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2006 article

On error prediction in circular systematic sampling

Jonsdottir, K. Y., Hoffmann, L. M., Hobolth, A., & Jensen, E. B. V. (2006, June). JOURNAL OF MICROSCOPY, Vol. 222, pp. 212–216.

By: K. Jonsdottir*, L. Hoffmann*, A. Hobolth n & E. Jensen *

author keywords: covariogram; error prediction; shape; stereology; stochastic processes; systematic sampling; variance estimation
TL;DR: An extended covariogram model is discussed for estimating the precision of circular systematic sampling, motivated by recent developments in shape analysis of featureless planar objects. (via Semantic Scholar)
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Added: August 6, 2018

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