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>.
|Author||Andrey A Shabalin [aut, cre] (<https://orcid.org/0000-0003-0309-6821>), John Palowitch [aut] (<https://orcid.org/0000-0002-1419-3056>)|
|Maintainer||Andrey A Shabalin <[email protected]>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.