Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression

By integrating Haar wavelets with Hidden Markov Models, we achieve drastically reduced running times for Bayesian inference using Forward-Backward Gibbs sampling. We show that this improves detection of genomic copy number variants (CNV) in array CGH experiments compared to the state-of-the-art, inc...

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Detalles Bibliográficos
Autores principales: Wiedenhoeft, John, Brugel, Eric, Schliep, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866742/
https://www.ncbi.nlm.nih.gov/pubmed/27177143
http://dx.doi.org/10.1371/journal.pcbi.1004871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866742/
https://www.ncbi.nlm.nih.gov/pubmed/27177143
http://dx.doi.org/10.1371/journal.pcbi.1004871

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