Bayesian hidden Markov models in DNA sequence segmentation using R: the case of Simian Vacuolating virus (SV40)-Reference-Cited by-同舟云学术

Bayesian hidden Markov models in DNA sequence segmentation using R: the case of Simian Vacuolating virus (SV40)

Published:2017-06-29 Issue:14 Volume:87 Page:2799-2827
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Totterdell James A.¹,Nur Darfiana²,Mengersen Kerrie L.³

Affiliation:

1. Biostatistician, Waverton, NSW, Australia

2. School of Computer Science, Engineering and Mathematics, Flinders University, Tonsley, SA, Australia

3. School of Mathematical Sciences, Queensland University of Technology and The Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Brisbane, QLD, Australia

Funder

Faculty of Science and Engineering and the School of Computer Science and Engineering and Mathematics at Flinders University

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2017.1344666

Reference35 articles.

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3. Statistical analysis of nucleotide sequences

4. SEGMENT: identifying compositional domains in DNA sequences

5. DNA Segmentation Through the Bayesian Approach

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