Package: methyLImp2 1.9.0
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_1.9.0.tar.gz
methyLImp2_1.9.0.zip(r-4.7)methyLImp2_1.9.0.zip(r-4.6)methyLImp2_1.9.0.zip(r-4.5)
methyLImp2_1.9.0.tgz(r-4.6-any)methyLImp2_1.9.0.tgz(r-4.5-any)
methyLImp2_1.9.0.tar.gz(r-4.7-any)methyLImp2_1.9.0.tar.gz(r-4.6-any)
methyLImp2_1.9.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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
- custom_anno_example - An example of how custom (user provided) annotation data frame should look like
On BioConductor:methyLImp2-1.9.0(bioc 3.24)methyLImp2-1.8.0(bioc 3.23)
dnamethylationmicroarraysoftwaremethylationarrayregressionimputationmethylationmissing-value-imputation
Last updated from:d5bec1036e. Checks:1 NOTE, 7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 168 | ||
| linux-devel-x86_64 | WARNING | 329 | ||
| source / vignettes | OK | 295 | ||
| linux-release-x86_64 | WARNING | 312 | ||
| macos-release-arm64 | WARNING | 197 | ||
| macos-oldrel-arm64 | WARNING | 190 | ||
| windows-devel | WARNING | 276 | ||
| windows-release | WARNING | 313 | ||
| windows-oldrel | WARNING | 261 | ||
| wasm-release | OK | 156 |
Exports:evaluatePerformancegenerateMissingDatamethyLImp2
Dependencies:abindBHBiobaseBiocGenericsBiocParallelChAMPdatacodetoolscorpcorcpp11DelayedArrayformatRfutile.loggerfutile.optionsgenericsGenomicRangesIRangeslambda.rlatticeMatrixMatrixGenericsmatrixStatsS4ArraysS4VectorsSeqinfosnowSparseArraySummarizedExperimentXVector
