DOI: 10.18129/B9.bioc.FlowSorted.Blood.EPIC    

This is the development version of FlowSorted.Blood.EPIC; to use it, please install the devel version of Bioconductor.

Illumina EPIC data on immunomagnetic sorted peripheral adult blood cells

Bioconductor version: Development (3.8)

Raw data objects to be used for blood cell proportion estimation in minfi and similar packages. The FlowSorted.Blood.EPIC object is based in samples assayed by Brock Christensen and colleagues; for details see Salas et al. 2018. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE110554.

Author: Lucas A. Salas [cre, aut], Devin C. Koestler [aut], Rondi A. Butler [ctb], Helen M. Hansen [ctb], John K. Wiencke [ctb], Karl T. Kelsey [ctb], Brock C. Christensen [ctb], Kasper Daniel Hansen [ctb] (author and maintainer of the original minfi estimateCellCounts and internal functions), Jean-Philippe Fortin [ctb] (contributor in the original minfi estimateCellCounts and internal functions), Shan V. Andrews [ctb] (contributor in the original minfi estimateCellCounts and internal functions), E. Andres Houseman [ctb] (author of the original quadratic programming function used for cell projection), Andrew E Jaffe [ctb] (author of the original estimateCellCounts and internal functions within minfi)

Maintainer: Lucas A. Salas <lucas.a.salas.diaz at dartmouth.edu>

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biocViews ExperimentData, Genome, Homo_sapiens_Data, MethylationArrayData, MicroarrayData, Tissue, TissueMicroarrayData
Version 0.99.36
License GPL-3
Depends R (>= 3.5), minfi(>= 1.21.2), SummarizedExperiment, genefilter, quadprog, nlme, S4Vectors, graphics, stats, utils, IlluminaHumanMethylationEPICanno.ilm10b4.hg19, ExperimentHub
Suggests knitr, rmarkdown, EpiDISH, FlowSorted.Blood.450k(>= 1.0.1), FlowSorted.CordBlood.450k, FlowSorted.CordBloodNorway.450k, testthat, IlluminaHumanMethylation450kmanifest(>= 0.2.0), IlluminaHumanMethylation450kanno.ilmn12.hg19(>= 0.2.1), IlluminaHumanMethylationEPICanno.ilm10b2.hg19
URL https://github.com/immunomethylomics/FlowSorted.Blood.EPIC
BugReports https://github.com/immunomethylomics/FlowSorted.Blood.EPIC/issues.
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