Analyzing gene perturbation screens with nested effects models in R and bioconductor

@article{Frhlich2008AnalyzingGP,
  title={Analyzing gene perturbation screens with nested effects models in R and bioconductor},
  author={Holger Fr{\"o}hlich and Tim Bei\ssbarth and Achim Tresch and Dennis Kostka and Juby Jacob and Rainer Spang and Florian Markowetz},
  journal={Bioinformatics},
  year={2008},
  volume={24 21},
  pages={2549-50}
}
UNLABELLED Nested effects models (NEMs) are a class of probabilistic models introduced to analyze the effects of gene perturbation screens visible in high-dimensional phenotypes like microarrays or cell morphology. NEMs reverse engineer upstream/downstream relations of cellular signaling cascades. NEMs take as input a set of candidate pathway genes and… CONTINUE READING