ACMEeqtl-package: Estimation of Interpretable eQTL Effect Sizes Using a Log of...

In andreyshabalin/ACMEeqtl: Estimation of Interpretable eQTL Effect Sizes Using a Log of Linear Model

Description

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 paramters. The ACME model provides interpretable effect size estimates and p-values with well controlled Type-I error. Includes both R and (faster) C implementations.

Details

Package:	ACMEeqtl
Type:	Package
License:	LGPL-3

Author(s)

Andrey A Shabalin [e-mail], John Palowitch

References

The manuscript is available at: http://onlinelibrary.wiley.com/doi/10.1111/biom.12810/full

See Also

For package overview and code examples see the package vignette via:
browseVignettes("ACMEeqtl")
or
RShowDoc("doc/ACMEeqtl.html", "html", "ACMEeqtl")

For fast testing of all local gene-SNP pairs (local eQTL) see multithreadACME.

andreyshabalin/ACMEeqtl documentation built on May 10, 2019, 11:16 a.m.