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) .


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install.packages("ACMEeqtl")

1.6 by Andrey A Shabalin, 4 months ago


https://github.com/andreyshabalin/ACMEeqtl


Report a bug at https://github.com/andreyshabalin/ACMEeqtl/issues


Browse source code at https://github.com/cran/ACMEeqtl


Authors: Andrey A Shabalin [aut, cre] (<https://orcid.org/0000-0003-0309-6821>), John Palowitch [aut] (<https://orcid.org/0000-0002-1419-3056>)


Documentation:   PDF Manual  


LGPL-3 license


Imports parallel

Depends on filematrix

Suggests knitr, rmarkdown, pander


See at CRAN