Package org.metaqtl.algo

Class Summary
ClustAlgorithm  
CMSAlgorithm Use this class to find common marker sequences between two chromosomes.
EMAlgorithm This class defines methods to perform the EM-algorithm for univariate mixture of gaussians with known variances.
HClustAlgorithm This class implements stantard agglomerative hierarchical clustering methods.
MetaAlgorithm  
MetaMapAlgorithm This class is dedicated to the construction of a consensus genetic map from a set of genetic maps based on a Weigthed Least Square approach.
QtlClustAlgorithm This class defines methods to perform a QTL meta-analysis on a genetic map by applying a clustering of QTL based on a gaussian mixture model and the EM-algorihtm.
QtlProjAlgorithm This class defines some methods to project QTL positions from a genetic map to another.
QtlTreeAlgorithm This class defines methods to perform agglomerative hierarchical QTL clustering.
SVDAlgorithm This class defines methods to solve usual linear algebra problems by using Singular Value Decomposition (SVD) strategy.