Wavelet-based identification of DNA focal genomic aberrations from single nucleotide polymorphism arrays.

ABSTRACT:

Background

Copy number aberrations (CNAs) are an important molecular signature in cancer initiation, development, and progression. However, these aberrations span a wide range of chromosomes, making it hard to distinguish cancer related genes from other genes that are not closely related to cancer but are located in broadly aberrant regions. With the current availability of high-resolution data sets such as single nucleotide polymorphism (SNP) microarrays, it has become an important issue to develop a computational method to detect driving genes related to cancer development located in the focal regions of CNAs.

Results

In this study, we introduce a novel method referred to as the wavelet-based identification of focal genomic aberrations (WIFA). The use of the wavelet analys

SUBMITTER: Hur Y 

PROVIDER: S-EPMC3114745 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature