ACMEeqtl (1.6)

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Estimation of Interpretable eQTL Effect Sizes Using a Log of Linear Model.

We use a non-linear model, termed ACME, that reflects a parsimonious biological model for allelic contributions of cis-acting eQTLs. With non-linear least-squares algorithm we estimate maximum likelihood parameters. The ACME model provides interpretable effect size estimates and p-values with well controlled Type-I error. Includes both R and (much faster) C implementations. For more details see Palowitch et al. (2017) .

Maintainer: Andrey A Shabalin
Author(s): Andrey A Shabalin [aut, cre] (<>), John Palowitch [aut] (<>)

License: LGPL-3

Uses: filematrix, knitr, pander, rmarkdown

Released about 2 years ago.

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