Statistical models for DNA copy number variation detection using read-depth data from next generation sequencing experiments
Author:
Affiliation:
1. Department of Statistics; University of Missouri at Columbia; Columbia MI 65211 USA
2. Department of Biostatistics and Epidemiology; Medical College of Georgia, Augusta University; Augusta GA 30912 USA
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/anzs.12175/fullpdf
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4. The transformation of Poisson, binomial and negative-binomial data;Anscombe;Biometrika,1948
5. Detecting changes in signals and systems - a survey;Basseville;Automatica,1988
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1. Statistical Considerations on NGS Data for Inferring Copy Number Variations;Methods in Molecular Biology;2021
2. Variational Inference for Coupled Hidden Markov Models Applied to the Joint Detection of Copy Number Variations;The International Journal of Biostatistics;2019-02-19
3. Goodness-of-fit tests for disorder detection in NGS experiments;Biometrical Journal;2018-12-27
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