ACMEeqtl (1.4)

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.

Maintainer: Andrey A Shabalin
Author(s): Andrey A Shabalin, John Palowitch

License: LGPL-3

Uses: filematrix, knitr, pander, rmarkdown

Released almost 3 years ago.