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Chunk #20 — Implementation — Parameter estimation

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variancePartition: interpreting drivers of variation in complex gene expression studies.
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We focus on the most general case (i.e. mixed models) that includes both fixed and random effects. In this case parameters can be estimated with maximum likelihood. Maximum likelihood estimates are used exclusively in the main text and are the default in the variancePartition software when random effects are specified because this method performs best in simulations.