Nested Effects Modelshttp://mloss.orgUpdates and additions to Nested Effects ModelsenTue, 08 Jul 2008 00:05:59 -0000Nested Effects Models 2.4.0<html><p>Nested Effects Models (NEMs) are a class of directed graphical models originally introduced to analyze the effects of gene perturbation screens with high-dimensional phenotypes. In contrast to other graphical models like Bayesian networks or Gaussian graphical models, NEMs don't encode conditional independence statements but SUBSET RELATIONS. NEMs achieve two goals: (i) to reveal clusters of genes with highly similar phenotypic profiles, and (ii) to order (clusters of) genes according to subset relationships between phenotypes. </p></html>holger froehlich, tim beissbarth, achim tresch, dennis kostka, juby jacob, rainer spang, florian markowetzTue, 08 Jul 2008 00:05:59 -0000 learninggraphrhigh dimensional dataalgorithmsgraphical modelsmicroarraysbioconductor