andreyshabalin/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>.

install.packages("remotes")
remotes::install_github("andreyshabalin/ACMEeqtl")