ACMEeqtl 1.6

Estimation of Interpretable eQTL Effect Sizes Using a Log of Linear Model

Released Mar 6, 2018 by Andrey A Shabalin

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filematrix 1.3

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) .



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This package was last tested against Renjin 0.9.2606 on Mar 9, 2018.



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