ArrayCGH: Analyzing comparative genomic hybridization data
Detecting Chromosomal aberrations from ArrayCGH and gene expression ArrayCGH experimental data Chromosomal aberrations such as deletions or duplications of chromosomal regions are a crucial contributing factor to cancer. The aberrations can be detected by observing the relative hybridization intensities of healthy vs. diseased patients for BAC-clones covering complete genomes. A Hidden Markov Model with a inhomogeneous Markov Chain allows to reflect dependencies between overlapping clones.
PublicationsSeifert et al.. Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models. Bioinformatics 2011, 27:12, 1645–1652. Seifert. Analyzing Microarray Data Using Homogenous and Inhomogenous Hidden Markov Models. Master's Thesis, Martin-Luther-Universität Halle, 2006.