| Nested Effects Models-based perturbation inference: | Inference of unobserved perturbations from gene expression profiles.Updated 2 years ago

Martin Pirkl, Niko Beerenwinkel

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| Epistatic Nested Effects Models: | Inferring mixed epistasis from indirect measurements of knock-out screensUpdated 4 years ago

Martin Pirkl, Madeline Diekmann, Marlies van der Wees, Niko Beerenwinkel, Holger Fröhlich, Florian Markowetz

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| Mixture Nested Effects Models: | Simultaneous inference of causal networks and corresponding subpopulations from single cell perturbation dataUpdated 4 years ago

Martin Pirkl, Niko Beerenwinkel

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| Boolean Nested Effects Models: | Inferring the logical signalling of pathways from indirect measurements and biological perturbations.Updated 4 years ago

Martin Pirkl

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