Nothing
ACMEeqtl: 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. For more details see Palowitch et al. (2017) <doi:10.1111/biom.12810>.
Browse package contents
Package details |
|
|---|---|
| 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 |
Install the latest version of this package by entering the following in R:
|
Try the ACMEeqtl package in your browser
Any scripts or data that you put into this service are public.
