Sequential model selection-based segmentation to detect DNA copy number variation

DOI10.1111/BIOM.12478zbMath1390.62266OpenAlexW2296254857WikidataQ37248153 ScholiaQ37248153MaRDI QIDQ2827192

Li-wen Zhang, Huixia Judy Wang, Jianhua Hu

Publication date: 12 October 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5018994

zbMATH Keywords

designBayesian information criterionsegmentationcopy-number variationarray-based CGHsequential model selection

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Optimal statistical designs (62K05) Sequential statistical analysis (62L10)

Cites Work

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• False discovery rates and copy number variation
• Identification of Differential Aberrations in Multiple-Sample Array CGH Studies
• Stochastic segmentation models for array-based comparative genomic hybridization data analysis
• Bayesian Hidden Markov Modeling of Array CGH Data
• Spatial smoothing and hot spot detection for CGH data using the fused lasso
• Regression Model Selection—A Residual Likelihood Approach
• Circular binary segmentation for the analysis of array-based DNA copy number data
• Simultaneous discovery of rare and common segment variants

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