Methylation Linear Discriminant Analysis (MLDA) for identifying differentially methylated CpG islands

Background: Hypermethylation of promoter CpG islands is strongly correlated to transcriptional gene silencing and epigenetic maintenance of the silenced state. As well as its role in tumor development, CpG island methylation contributes to the acquisition of resistance to chemotherapy. Differential Methylation Hybridisation (DMH) is one technique used for genomewide DNA methylation analysis. The study of such microarray data sets should ideally account for the specific biological features of DNA methylation and the non-symmetrical distribution of the ratios of unmethylated and methylated sequences hybridised on the array. We have therefore developed a novel algorithm tailored to this type of data, Methylation Linear Discriminant Analysis (MLDA). Results: MLDA was programmed in R (version 2.7.0) and the package is available at CRAN [1]. This approach utilizes linear regression models of non-normalised hybridisation data to define methylation status. Log-transformed signal intensities o...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Wei Dai, Jens M. Teodoridis, Janet Graham, Constanze Zeller, Tim Hui-Ming Huang, Pearlly Yan, J. Keith Vass, Robert Brown, Jim Paul
• Keywords: BMCBI 2008, CpG Island Methylation, DNA Methylation, Methylation