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PANAMA eQTL
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PANAMA is a novel probabilistic model to account for confounding factors in eQTL studies.

Hidden confounding factors, such as unobserved covariates or unknown
subtle environmental perturbations can create spurious false
associations or mask real genetic association signals. In contrast to
previous methods, PANAMA learns hidden factors jointly with the effect
of prominent genetic regulators. As a result, this new model can more
accurately distinguish true genetic association signals from
confounding variation.


N. Fusi,O. Stegle and N. D. Lawrence, *"Joint modelling of confounding
factors and prominent genetic regulators provides increased accuracy
in genetical genomics studies"*, PLoS Computational Biology, 2012



More informations at http://ml.sheffield.ac.uk/qtl/panama/
