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

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 analysis, because it is a multi-resolution approach, makes it possible to effectively identify focal genomic aberrations in broadly aberrant regions. The proposed method integrates multiple cancer samples so that it en...

• Type: Journal
• Year: 2011
• Where: BMCBI
• Authors: Youngmi Hur, Hyunju Lee
• Keywords: Biometrics, BMCBI 2011, Cancer Data, Nucleotide Polymorphism, Snp Microarray