Back to search

Article

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

2015-07-31

Abstract excerpt

By combining Haar wavelets with Bayesian Hidden Markov Models, we improve detection of genomic copy number variants (CNV) in array CGH experiments compared to the state-of-the-art, including standard Gibbs sampling. At the same time, we achieve drastically reduced running times, as the method concentrates computational effort on chromosomal segments which are difficult to call, by dynamically and adaptively recomp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
61a0c576-e179-5db7-b1db-58945e3a5f35
DOI
10.1101/023705
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet CompressionDOI 10.1101/023705
Select a neighboring publication to make it the new centre.