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Filter CpGs based on Intra-class Correlation Coefficients (ICCs) when replicates are available. ICCs are calculated by fitting linear mixed effects models to all samples including the un-replicated samples. Including the large number of un-replicated samples improves ICC estimates dramatically. The method accommodates any replicate design.
| Version: | 1.1 |
| Depends: | R (≥ 3.1.0) |
| Imports: | stats, matrixStats |
| Published: | 2017-08-23 |
| Author: | Jun Chen |
| Maintainer: | Jun Chen <chen.jun2 at mayo.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | CpGFilter results |
| Reference manual: | CpGFilter.pdf |
| Package source: | CpGFilter_1.1.tar.gz |
| Windows binaries: | r-devel: CpGFilter_1.1.zip, r-release: CpGFilter_1.1.zip, r-oldrel: CpGFilter_1.1.zip |
| macOS binaries: | r-release (arm64): CpGFilter_1.1.tgz, r-oldrel (arm64): CpGFilter_1.1.tgz, r-release (x86_64): CpGFilter_1.1.tgz, r-oldrel (x86_64): CpGFilter_1.1.tgz |
| Old sources: | CpGFilter archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.