CRAN

ACMEeqtl 1.5

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

Released Jan 13, 2018 by Andrey A Shabalin

This package cannot yet be used with Renjin it depends on other packages which are not available: filematrix 1.2 An older version of this package is more compatible with Renjin.

Dependencies

filematrix 1.2

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) .

Source

R
C

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