Package: methyLImp2 1.1.0
methyLImp2: Missing value estimation of DNA methylation data
This package allows to estimate missing values in DNA methylation data. methyLImp method is based on linear regression since methylation levels show a high degree of inter-sample correlation. Implementation is parallelised over chromosomes since probes on different chromosomes are usually independent. Mini-batch approach to reduce the runtime in case of large number of samples is available.
Authors:
methyLImp2_1.1.0.tar.gz
methyLImp2_1.1.0.zip(r-4.5)methyLImp2_1.1.0.zip(r-4.4)methyLImp2_1.1.0.zip(r-4.3)
methyLImp2_1.1.0.tgz(r-4.4-any)methyLImp2_1.1.0.tgz(r-4.3-any)
methyLImp2_1.1.0.tar.gz(r-4.5-noble)methyLImp2_1.1.0.tar.gz(r-4.4-noble)
methyLImp2_1.1.0.tgz(r-4.4-emscripten)methyLImp2_1.1.0.tgz(r-4.3-emscripten)
methyLImp2.pdf |methyLImp2.html✨
methyLImp2/json (API)
NEWS
# Install 'methyLImp2' in R: |
install.packages('methyLImp2', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/annaplaksienko/methylimp2/issues
On BioConductor:methyLImp2-1.1.0(bioc 3.20)methyLImp2-1.0.0(bioc 3.19)
Last updated 2 months agofrom:f5755fe2ce
Exports:evaluatePerformancegenerateMissingDatamethyLImp2
Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelChAMPdatacodetoolscorpcorcpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelambda.rlatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorssnowSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc