A shifting level model algorithm that identifies aberrations in array-CGH data

DOI10.1093/BIOSTATISTICS/KXP051zbMath1437.62549OpenAlexW2153460641WikidataQ33516916 ScholiaQ33516916MaRDI QIDQ3305020

Matteo Benelli, Genni Nannetti, Giuseppina Marseglia, Alberto Magi, Maria Rosaria Scordo

Publication date: 4 August 2020

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxp051

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• BioHMM

Cites Work

• Hidden Markov models approach to the analysis of array CGH data
• 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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