Article
Structure learning in Nested Effects Models.
Statistical applications in genetics and molecular biology - 1 Jan 2008
Tresch Achim, Markowetz Florian
Abstract excerpt
Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs of phenotyping studies, e.g., the effects showing in gene expression profiles or as morphological features of the perturbed cell. In this paper we expand the statistical basis of NEMs in four directions. First, we...
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