Gene mapping of complex diseases - A comparison of methods from statistics informnation theory, and signal processing

The goal of gene mapping is to identify the genetic loci that are responsible for the apparent genotypes such as complex diseases. In this work, a review and comparison of three different gene mapping methods is presented along with the assumptions and imposed constraints. The first method relies on standard statistical techniques and follows a probabilistic approach to deal with the problem. The second method is based on a well-known concept from information theory. The idea is to model the available data as random variables and measure the dependence between them using mutual information. The last method explores blind source separation techniques by finding a suitable model that involves mixing various sources so that independent component analysis can be applied