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Estimating Shared Copy Number Aberrations for Array CGH Data: The Linear-Median Method
Author(s) -
YanXia Lin,
Veerabhadran Baladandayuthapani,
Vinícius Bonato,
Kim-Ahn Do
Publication year - 2010
Publication title -
cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 31
ISSN - 1176-9351
DOI - 10.4137/cin.s5614
Subject(s) - computer science , medicine , computational biology , biology
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.

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