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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>.
Package details |
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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 <andrey.shabalin@gmail.com> |
License | LGPL-3 |
Version | 1.6 |
URL | https://github.com/andreyshabalin/ACMEeqtl |
Package repository | View on CRAN |
Installation |
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