README.md
In ejh243/EPICBloodCompCalc: Provides FACS Sorted Blood Cell Type DNA Methylation Reference Data to Estimate Blood Cellular Composition
EPIC.DNAm.FACS.sorted.BloodCellTypes
This package provides DNA methylation reference data from FACs sorted purified blood cell typesprofiled using the Illumina Infinium MethylationEPIC BeadChip. Specifically it includes profiles for CD4 T cells, CD8 T cells, B cells, Monocytes and Granulocytes purified from 28 individuals (140 samples in total).
The package also includes a vignette to aid users estimate cellular proportions from their DNA methylation data applicable for DNA methylation data profiled in blood on either the Illumina 450K or EPIC BeadChip.
Requirements
For the package to work it requires the following packages to also be installed
..minfi
..genefilter
..quadprog
..IlluminaHumanMethylationEPICmanifest
..*IlluminaHumanMethylation450kmanifest (if your data was profiled with the 450K array rather than the EPIC)
Install the package
It is recommended to install the package from Bioconductor.
ejh243/EPICBloodCompCalc documentation built on May 24, 2019, 2:48 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
EPIC.DNAm.FACS.sorted.BloodCellTypes
This package provides DNA methylation reference data from FACs sorted purified blood cell typesprofiled using the Illumina Infinium MethylationEPIC BeadChip. Specifically it includes profiles for CD4 T cells, CD8 T cells, B cells, Monocytes and Granulocytes purified from 28 individuals (140 samples in total). The package also includes a vignette to aid users estimate cellular proportions from their DNA methylation data applicable for DNA methylation data profiled in blood on either the Illumina 450K or EPIC BeadChip.
Requirements
For the package to work it requires the following packages to also be installed ..minfi ..genefilter ..quadprog ..IlluminaHumanMethylationEPICmanifest ..*IlluminaHumanMethylation450kmanifest (if your data was profiled with the 450K array rather than the EPIC)
Install the package
It is recommended to install the package from Bioconductor.
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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