Package: methyLImp2 1.3.0
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_1.3.0.tar.gz
methyLImp2_1.3.0.zip(r-4.5)methyLImp2_1.3.0.zip(r-4.4)methyLImp2_1.3.0.zip(r-4.3)
methyLImp2_1.3.0.tgz(r-4.4-any)methyLImp2_1.3.0.tgz(r-4.3-any)
methyLImp2_1.3.0.tar.gz(r-4.5-noble)methyLImp2_1.3.0.tar.gz(r-4.4-noble)
methyLImp2_1.3.0.tgz(r-4.4-emscripten)methyLImp2_1.3.0.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
- beta - A subset of GSE199057 dataset for vignette demonstration
- beta_meta - Metadata information for GSE199057 dataset for vignette demonstration
- custom_anno_example - An example of how custom (user provided) annotation data frame should look like
On BioConductor:methyLImp2-1.3.0(bioc 3.21)methyLImp2-1.2.0(bioc 3.20)
dnamethylationmicroarraysoftwaremethylationarrayregressionimputationmethylationmissing-value-imputation
Last updated 2 months agofrom:613be1fffc. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 18 2024 |
R-4.5-win | NOTE | Dec 18 2024 |
R-4.5-linux | NOTE | Dec 18 2024 |
R-4.4-win | NOTE | Dec 18 2024 |
R-4.4-mac | NOTE | Dec 18 2024 |
R-4.3-win | NOTE | Dec 18 2024 |
R-4.3-mac | NOTE | Dec 18 2024 |
Exports:evaluatePerformancegenerateMissingDatamethyLImp2
Dependencies:abindaskpassBHBiobaseBiocGenericsBiocParallelChAMPdatacodetoolscorpcorcpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelambda.rlatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6S4ArraysS4VectorssnowSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc