README.md
In andreaskapou/BPRMeth-devel: Model higher-order methylation profiles
BPRMeth development version
The aim of BPRMeth is to extract higher order features associated with the shape of methylation profiles across a defined genomic region. Using these higher order features across promoter-proximal regions, BPRMeth provides a powerful machine learning predictor of gene expression. Check the vignette on how to use the package.
Installation
To get the latest development version from Github:
# install.packages("devtools")
devtools::install_github("andreaskapou/BPRMeth-devel")
Citation
Kapourani, C.-A. and Sanguinetti, G. (2016). Higher order methylation features for clustering and prediction in epigenomic studies. Bioinformatics 32 (17), i405-i412. (Best Paper Award
in ECCB 2016).
andreaskapou/BPRMeth-devel documentation built on May 12, 2019, 3:32 a.m.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
BPRMeth development version
The aim of BPRMeth is to extract higher order features associated with the shape of methylation profiles across a defined genomic region. Using these higher order features across promoter-proximal regions, BPRMeth provides a powerful machine learning predictor of gene expression. Check the vignette on how to use the package.
Installation
To get the latest development version from Github:
# install.packages("devtools")
devtools::install_github("andreaskapou/BPRMeth-devel")
Citation
Kapourani, C.-A. and Sanguinetti, G. (2016). Higher order methylation features for clustering and prediction in epigenomic studies. Bioinformatics 32 (17), i405-i412. (Best Paper Award in ECCB 2016).
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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