Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median Method

Motivation: Existing methods for estimating copy number variations in array comparative genomic hybridization (aCGH) data are limited to estimations of the gain/loss of chromosome regions for single sample analysis. We propose the linear-median method for estimating shared copy numbers in DNA sequen...

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Main Authors: K.-A. Do, V. Bonato, V. Baladandayuthapani, Y.-X. Lin
Format: Article
Language:English
Published: SAGE Publishing 2010-10-01
Series:Cancer Informatics
Online Access:http://la-press.com/estimating-shared-copy-number-aberrations-for-array-cgh-data-the-linea-a2294
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author K.-A. Do
V. Bonato
V. Baladandayuthapani
Y.-X. Lin
author_facet K.-A. Do
V. Bonato
V. Baladandayuthapani
Y.-X. Lin
author_sort K.-A. Do
collection DOAJ
description Motivation: Existing methods for estimating copy number variations in array comparative genomic hybridization (aCGH) data are limited to estimations of the gain/loss of chromosome regions for single sample analysis. We propose the linear-median method for estimating shared copy numbers in DNA sequences across multiple samples, demonstrate its operating characteristics through simulations and applications to real cancer data, and compare it to two existing methods. Results: Our proposed linear-median method has the power to estimate common changes that appear at isolated single probe positions or very short regions. Such changes are hard to detect by current methods. This new method shows a higher rate of true positives and a lower rate of false positives. The linear-median method is non-parametric and hence is more robust in estimating copy number. Additionally the linear-median method is easily computable for practical aCGH data sets compared to other copy number estimation methods.
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spelling doaj.art-b174677b24a445cca62e6835108ac4cd2022-12-22T00:26:53ZengSAGE PublishingCancer Informatics1176-93512010-10-0120109229249Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median MethodK.-A. DoV. BonatoV. BaladandayuthapaniY.-X. LinMotivation: Existing methods for estimating copy number variations in array comparative genomic hybridization (aCGH) data are limited to estimations of the gain/loss of chromosome regions for single sample analysis. We propose the linear-median method for estimating shared copy numbers in DNA sequences across multiple samples, demonstrate its operating characteristics through simulations and applications to real cancer data, and compare it to two existing methods. Results: Our proposed linear-median method has the power to estimate common changes that appear at isolated single probe positions or very short regions. Such changes are hard to detect by current methods. This new method shows a higher rate of true positives and a lower rate of false positives. The linear-median method is non-parametric and hence is more robust in estimating copy number. Additionally the linear-median method is easily computable for practical aCGH data sets compared to other copy number estimation methods.http://la-press.com/estimating-shared-copy-number-aberrations-for-array-cgh-data-the-linea-a2294
spellingShingle K.-A. Do
V. Bonato
V. Baladandayuthapani
Y.-X. Lin
Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median Method
Cancer Informatics
title Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median Method
title_full Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median Method
title_fullStr Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median Method
title_full_unstemmed Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median Method
title_short Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median Method
title_sort estimating shared copy number aberrations for array cgh data the linear median method
url http://la-press.com/estimating-shared-copy-number-aberrations-for-array-cgh-data-the-linea-a2294
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