Post-selection inference for changepoint detection algorithms with application to copy number variation data

Post-selection inference for changepoint detection algorithms with application to copy number variation data

Changepoint detection methods are used in many areas of science and engineering, for example, in the analysis of copy number variation data to detect abnormalities in copy numbers along the genome. Despite the broad array of available tools, methodology for quantifying our uncertainty in the strengt...

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Bibliographic Details
Main Authors: G'Sell, M. (Author), Hyun, S. (Author), Lin, K.Z (Author), Tibshirani, R.J (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
algorithm
Algorithms
Argentina
changepoint detection
comparative genomic hybridization
Comparative Genomic Hybridization
comparative genomic hybridization analysis
copy number variation
data acquisition
detection method
DNA Copy Number Variations
genetics
hybridization
hypothesis tests
Markov chain
Markov Chains
methodology
Monaco
Monte
Monte Carlo
Monte Carlo method
Monte Carlo Method
post-selection inference
sampling
segmentation algorithms
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