https://doi.org/10.7490/f1000research.1114670.1
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Wiedenhoeft J, Cagan A, Kozhemjakina R et al. Locating CNV candidates in WGS data using wavelet-compressed Bayesian HMM [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1418 (poster) (https://doi.org/10.7490/f1000research.1114670.1)
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Locating CNV candidates in WGS data using wavelet-compressed Bayesian HMM

John Wiedenhoeft1, Alex Cagan, Rimma Kozhemjakina, Rimma Gulevich, Alexander Schliep
Author Affiliations
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Published 10 Aug 2017

Locating CNV candidates in WGS data using wavelet-compressed Bayesian HMM

[version 1; not peer reviewed]

John Wiedenhoeft1, Alex Cagan, Rimma Kozhemjakina, Rimma Gulevich, Alexander Schliep
Author Affiliations
1 Chalmers University of Technology, Sweden
Presented at
Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017
Abstract
Competing Interests

No competing interests were disclosed

Keywords
CNV, WGS, HMM, bayesian inference
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