Description Details Author(s) References See Also
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.
Package: | ACMEeqtl |
Type: | Package |
License: | LGPL-3 |
Andrey A Shabalin andrey.shabalin@gmail.com, John Palowitch
The manuscript is available at: http://onlinelibrary.wiley.com/doi/10.1111/biom.12810/full
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
.
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