olsgasp: olsgasp: A package for imputation in genetic methylation...
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olsgasp R Documentation
olsgasp: A package for imputation in genetic methylation studies
Description
We propose a a method to predict the missing methylation levels.
This method catches correlation structures among the methylation levels across genome sites and across samples.
The regression function linking the methylation level to the covariates
is modeled through a linear combination of the covariates together with latent factors.
We assume the covariates' and latent factors' effects to be Gaussian random processes (GP).
Author(s)
Melina Ribaud
References
Melina Ribaud, Aurélie Labbe and Karim Oualkacha.
Imputation in genetic methylation studies: A linear model of coregionalization (LMC) with informative covariates.
2022. hal-00000000
melinaR/olsgasp documentation built on March 11, 2023, 12:10 a.m.
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| olsgasp | R Documentation |
olsgasp: A package for imputation in genetic methylation studies
Description
We propose a a method to predict the missing methylation levels. This method catches correlation structures among the methylation levels across genome sites and across samples. The regression function linking the methylation level to the covariates is modeled through a linear combination of the covariates together with latent factors. We assume the covariates' and latent factors' effects to be Gaussian random processes (GP).
Author(s)
Melina Ribaud
References
Melina Ribaud, Aurélie Labbe and Karim Oualkacha. Imputation in genetic methylation studies: A linear model of coregionalization (LMC) with informative covariates. 2022. hal-00000000
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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