Package: NewWave 1.15.0
NewWave: Negative binomial model for scRNA-seq
A model designed for dimensionality reduction and batch effect removal for scRNA-seq data. It is designed to be massively parallelizable using shared objects that prevent memory duplication, and it can be used with different mini-batch approaches in order to reduce time consumption. It assumes a negative binomial distribution for the data with a dispersion parameter that can be both commonwise across gene both genewise.
Authors:
NewWave_1.15.0.tar.gz
NewWave_1.15.0.zip(r-4.5)NewWave_1.15.0.zip(r-4.4)NewWave_1.15.0.zip(r-4.3)
NewWave_1.15.0.tgz(r-4.4-any)NewWave_1.15.0.tgz(r-4.3-any)
NewWave_1.15.0.tar.gz(r-4.4-noble)
NewWave_1.15.0.tgz(r-4.4-emscripten)NewWave_1.15.0.tgz(r-4.3-emscripten)
NewWave.pdf |NewWave.html✨
NewWave/json (API)
NEWS
# Install 'NewWave' in R: |
install.packages('NewWave', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fedeago/newwave/issues
On BioConductor:NewWave-1.15.0(bioc 3.20)NewWave-1.14.0(bioc 3.19)
Last updated 2 months agofrom:04d6ef80c4
Exports:newAICnewAlphanewBetanewBICnewEpsilon_alphanewEpsilon_betanewEpsilon_gammanewEpsilon_WnewEpsilon_zetanewFitnewGammanewlogliknewLogMunewmodelnewMunewpenaltynewPhinewSimnewThetanewVnewWnewWavenewXnewZetanumberFactorsnumberFeaturesnumberParamsnumberSamplesshow
Dependencies:abindaskpassbeachmatBHBiobaseBiocGenericsBiocParallelBiocSingularcodetoolscpp11crayoncurlDelayedArrayformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesirlbajsonlitelambda.rlatticeMatrixMatrixGenericsmatrixStatsmimeopensslR6RcpprsvdS4ArraysS4VectorsScaledMatrixSharedObjectSingleCellExperimentsnowSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc