NEMix: single-cell nested effects models for probabilistic pathway stimulation.
Nested effects models have been used successfully for learning subcellular networks from high-dimensional perturbation effects that result from RNA interference (RNAi) experiments. Here, we further develop the basic nested effects model using high-content single-cell imaging data from RNAi screens o...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-04-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC4400057?pdf=render |