A probe-density-based analysis method for array CGH data: simulation, normalization and centralization.

ABSTRACT:

Motivation

Genomic instability is one of the fundamental factors in tumorigenesis and tumor progression. Many studies have shown that copy-number abnormalities at the DNA level are important in the pathogenesis of cancer. Array comparative genomic hybridization (aCGH), developed based on expression microarray technology, can reveal the chromosomal aberrations in segmental copies at a high resolution. However, due to the nature of aCGH, many standard expression data processing tools, such as data normalization, often fail to yield satisfactory results.

Results

We demonstrated a novel aCGH normalization algorithm, which provides an accurate aCGH data normalization by utilizing the dependency of neighboring probe measurements in aCGH experiments. To facilitate the study, we hav

SUBMITTER: Chen HI 

PROVIDER: S-EPMC2732214 | biostudies-literature | 2008 Aug

REPOSITORIES: biostudies-literature