ACMEeqtl: 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) <doi:10.1111/biom.12810>.

Package details

AuthorAndrey A Shabalin [aut, cre] (<>), John Palowitch [aut] (<>)
MaintainerAndrey A Shabalin <>
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ACMEeqtl documentation built on May 2, 2019, 4:03 p.m.