Moment estimation in discrete shifting level model applied to fast array-CGH segmentation

DOI10.1111/stan.12005zbMath1541.62061MaRDI QIDQ6552759

Alberto Magi, Matteo Benelli, Alberto Gandolfi, S. Chiti

Publication date: 10 June 2024

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

confidence intervalsDNAsegmentationmoment estimatormicroarrayarray-CGHfinite state spaceshifting level process

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Genetics and epigenetics (92D10)

Cites Work

• Hidden Markov models approach to the analysis of array CGH data
• A very fast and accurate method for calling aberrations in array-CGH data
• A shifting level model algorithm that identifies aberrations in array-CGH data
• Limit theorems for the shifting level process
• Circular binary segmentation for the analysis of array-based DNA copy number data
• Estimating the Current Mean of a Normal Distribution which is Subjected to Changes in Time

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