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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Maintainer | |
License | LGPL-3 |
Version | 1.7 |
URL | https://github.com/andreyshabalin/ACMEeqtl |
Package repository | View on GitHub |
Installation |
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