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.
- Changes to previous version:
Initial Announcement on mloss.org.
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