In analysis of high-dimensional DNA methylation data, a penalized exponential tilt model can identify differentially methylated loci between cases and controls, using network based regularization. It is able to detect any differences in means only, in variances only or in both means and variances.
| Version: | 0.1.5 |
| Depends: | Matrix (≥ 1.0-6), utils |
| Published: | 2016-05-22 |
| Author: | Hokeun Sun |
| Maintainer: | Hokeun Sun <hsun at pusan.ac.kr> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | pETM results |
| Reference manual: | pETM.pdf |
| Package source: | pETM_0.1.5.tar.gz |
| Windows binaries: | r-devel: pETM_0.1.5.zip, r-release: pETM_0.1.5.zip, r-oldrel: pETM_0.1.5.zip |
| OS X El Capitan binaries: | r-release: pETM_0.1.5.tgz |
| OS X Mavericks binaries: | r-oldrel: pETM_0.1.5.tgz |
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