CGHnormaliter: an iterative strategy to enhance normalization of array CGH data with imbalanced aberrations.

ABSTRACT:

Background

Array comparative genomic hybridization (aCGH) is a popular technique for detection of genomic copy number imbalances. These play a critical role in the onset of various types of cancer. In the analysis of aCGH data, normalization is deemed a critical pre-processing step. In general, aCGH normalization approaches are similar to those used for gene expression data, albeit both data-types differ inherently. A particular problem with aCGH data is that imbalanced copy numbers lead to improper normalization using conventional methods.

Results

In this study we present a novel method, called CGHnormaliter, which addresses this issue by means of an iterative normalization procedure. First, provisory balanced copy numbers are identified and subsequently used for normalizat

SUBMITTER: van Houte BP 

PROVIDER: S-EPMC2748095 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature