MSMAD: a computationally efficient method for the analysis of noisy array CGH data

摘要

Motivation: Genome analysis has become one of the most important tools for understanding the complex process of cancerogenesis. With increasing resolution of CGH arrays, the demand for computationally efficient algorithms arises, which are effective in the detection of aberrations even in very noisy data.