A hierarchical clustering method for estimating copy number variation

DOI10.1093/BIOSTATISTICS/KXL035zbMath1118.62123OpenAlexW1994381110WikidataQ40216522 ScholiaQ40216522MaRDI QIDQ5308157

Shelley B. Bull, Celia M. T. Greenwood, Baifang Xing

Publication date: 27 September 2007

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxl035

zbMATH Keywords

permutationchange-pointoutlier detectionArray CGHgenomic copy number

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Protein sequences, DNA sequences (92D20)

Related Items (2)

A Bayesian approach for locating change points in a compound Poisson process with application to detecting DNA copy number variations ⋮ PICNIC: an algorithm to predict absolute allelic copy number variation with microarray cancer data

Uses Software

• CGH-Plotter

This page was built for publication: A hierarchical clustering method for estimating copy number variation